Job description

AWS AI Engineers with strong expertise in AWS cloud services and AWS AI agent-based automation to deliver end‑to‑end automations using AWS-native tooling, low-code platforms, and full-code engineering across enterprise systems.

Key Responsibilities

• Develop autonomous agents using AWS Q, AgentCore, LangChain, LangGraph, CrewAI, or AutoGen for reasoning, orchestration, and tool-use.

• Build intel...ligent document processing workflows leveraging AWS Textract, Comprehend, and extraction pipelines.

• Implement GenAI automation patterns including RAG, summarisation, classification, and routing using AWS Bedrock.

• Build monitoring and automation insight dashboards using AWS QuickSight.

• Write clean, modular Python code for APIs, microservices, automation logic, and integrations.

Required Skills

• Good experience in automation or AWS cloud development experience.

• Advanced Python development

• Experience with AWS agentic automation (Q, AgentCore, LangChain/LangGraph/CrewAI).

• Experience in AWS Bedrock

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Qualifications

• The ideal candidate is deeply curious about emerging AI techniques, proactive in shaping product decisions, and passionate about delivering measurable impact not just experiments

• 2–5 years of experience in Data Science, Applied AI, or a related role

• Proven experience building and deploying AI or data-driven solutions that delivered measurable business impact

• Experience working in fast-paced, execution-oriented environments

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field

• Equivalent practical experience building and deploying AI/ML systems will be considered in lieu of formal education

• Strong Python and SQL skills (data manipulation, transformation, experimentation support)

• Experience working with large datasets and production-grade workflows

• Familiarity with generative AI systems, including: LLM integrations, Prompt engineering, Retrieval-based workflows (RAG concepts), Multi-step or agent-based orchestration

• Working knowledge of statistics and experimentation (regression, variance analysis, signal vs

• noise, basic causal thinking)

• Ability to design practical evaluation frameworks for AI outputs

• Generalist mindset: comfortable spanning analytics, modeling, AI workflows, experimentation, and product thinking

• High ownership and bias for action; favors rapid, iterative delivery

• Strong problem-framing skills able to break ambiguous problems into clear, executable steps

• Passionate about emerging AI techniques and continuously exploring how to apply them

• Clear communicator who can tell a concise story with data and AI outcomes

• Flexible and comfortable working with cross-functional and cross-timezone teams

• Highly collaborative and receptive to feedback

• 16 more items(s)

Benefits

• We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey

• The total cash range for this position in Seattle is $112,000.00 to $156,500.00

• Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role

• Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience

• Pay ranges may be modified in the future

• Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program

• To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership

• 4 more items(s)

Responsibilities

• This is a generalist role for someone who thrives at the intersection of data science, generative AI, product thinking, and execution

• You will partner closely with senior leaders, engineering, and business stakeholders to move quickly from idea, prototype, production

• This role is based in Seattle and requires flexibility to collaborate across time zones

• Build and deploy end-to-end AI and data science solutions, including LLM-powered workflows and analytics pipelines

• Rapidly prototype and productionize generative AI use cases (prompt engineering, retrieval-based systems, agent workflows, evaluation frameworks)

• Translate ambiguous business problems into clear AI/data science problem statements

• Design and implement evaluation approaches (offline metrics, experimentation, pre/post impact analysis, A/B tests where applicable)

• Work directly with senior stakeholders to shape product direction, refine requirements, and prioritize high-impact use cases

• Incorporate user feedback into iterative AI improvements and workflow redesign

• Develop scalable data pipelines and reusable components using Python and SQL

• Automate recurring reporting, evaluation, and decision-support workflows

• Document prompts, workflows, experiments, and technical decisions clearly for internal sharing

• Contribute to inclusive and responsible AI practices, ensuring clarity, transparency, and reproducibility

• Proactive in influencing product direction and collaborating with senior leaders

• 11 more items(s)

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Job description

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we ...foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Data Scientist II – Applied AI

Introduction to team

Our Corporate Functions are made up of teams that support Expedia Group, including Employee Communications, Finance, Legal, People Team, Inclusion and Diversity, and Global Social Impact and Sustainability.

We are looking for a high-velocity, hands-on Data Scientist II – Applied AI to help build and scale practical AI solutions within fast-moving business teams. This is a generalist role for someone who thrives at the intersection of data science, generative AI, product thinking, and execution.

You will partner closely with senior leaders, engineering, and business stakeholders to move quickly from idea, prototype, production. The ideal candidate is deeply curious about emerging AI techniques, proactive in shaping product decisions, and passionate about delivering measurable impact not just experiments.

This role is based in Seattle and requires flexibility to collaborate across time zones.

In this role you will:

• Build and deploy end-to-end AI and data science solutions, including LLM-powered workflows and analytics pipelines

• Rapidly prototype and productionize generative AI use cases (prompt engineering, retrieval-based systems, agent workflows, evaluation frameworks)

• Translate ambiguous business problems into clear AI/data science problem statements

• Design and implement evaluation approaches (offline metrics, experimentation, pre/post impact analysis, A/B tests where applicable)

• Work directly with senior stakeholders to shape product direction, refine requirements, and prioritize high-impact use cases

• Incorporate user feedback into iterative AI improvements and workflow redesign

• Develop scalable data pipelines and reusable components using Python and SQL

• Automate recurring reporting, evaluation, and decision-support workflows

• Document prompts, workflows, experiments, and technical decisions clearly for internal sharing

• Contribute to inclusive and responsible AI practices, ensuring clarity, transparency, and reproducibility

Qualifications and Experience:

• 2–5 years of experience in Data Science, Applied AI, or a related role

• Proven experience building and deploying AI or data-driven solutions that delivered measurable business impact

• Experience working in fast-paced, execution-oriented environments

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field

• Equivalent practical experience building and deploying AI/ML systems will be considered in lieu of formal education

Technical Skills

• Strong Python and SQL skills (data manipulation, transformation, experimentation support)

• Experience working with large datasets and production-grade workflows

• Familiarity with generative AI systems, including: LLM integrations, Prompt engineering, Retrieval-based workflows (RAG concepts), Multi-step or agent-based orchestration

• Working knowledge of statistics and experimentation (regression, variance analysis, signal vs. noise, basic causal thinking)

• Ability to design practical evaluation frameworks for AI outputs

Mindset & Traits

• Generalist mindset: comfortable spanning analytics, modeling, AI workflows, experimentation, and product thinking

• High ownership and bias for action; favors rapid, iterative delivery

• Proactive in influencing product direction and collaborating with senior leaders

• Strong problem-framing skills able to break ambiguous problems into clear, executable steps

• Passionate about emerging AI techniques and continuously exploring how to apply them

• Clear communicator who can tell a concise story with data and AI outcomes

• Flexible and comfortable working with cross-functional and cross-timezone teams

• Highly collaborative and receptive to feedback

Why This Role

This is not a narrowly scoped role. It’s an opportunity to operate as a high-impact AI generalist shaping product direction, experimenting with emerging AI capabilities, and turning ideas into production systems that drive real business outcomes.

If you are energized by speed, ownership, and building practical AI systems that matter, we’d love to hear from you.

The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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Job description

What’s the role?

As an ML Solution Architect, you will play a pivotal role in designing and implementing enterprise-grade AI/ML solutions that align with business objectives and technology strategy. This is a Senior position requiring a blend of technical depth, architectural vision, and business acumen. You will define frameworks, guide engineering teams, and ensure scalability, security, and co...mpliance across ML deployments.

In this role, you will have the opportunity to…

- Architect end-to-end AI/ML solutions including data pipelines, model deployment, cloud-native integrations, and enterprise-grade infrastructure.

- Lead technical design reviews, mentor engineering teams, and evaluate current AI/ML technologies (LLMs, RAG, AutoML).

- Drive POCs and convert prototypes into production-grade models using TensorFlow, PyTorch, LangChain, and modern cloud platforms (AWS, GCP, Azure).

- Develop APIs and microservices enabling seamless integration of AI capabilities into products.

- Implement strong MLOps practices—CI/CD for ML, automated retraining, model performance monitoring, and governance.

- Partner with data engineering to ensure robust pipelines, high-quality data, lineage, and feature engineering standards.

- Collaborate with product, engineering, consulting partners, and business stakeholders to align solutions with strategic goals.

- Advocate for responsible AI practices, explainability, ethical deployment, and build reusable frameworks/architectures.

Qualifications Required…

- Experience: 15+ years of development experience, with at least 7+ years in AI/ML and 4+ Years in ML solution architecture.

- Strong experience with enterprise architecture frameworks, design patterns, cloud‑native architectures, and modern integration approaches.

- Proven ability to design, build, and deploy systems using diverse model types (language, vision, traditional ML) and the supporting infrastructure.

- Skilled across multiple programming languages, major cloud platforms (AWS/GCP/Azure), and architectural modelling tools.

- Background in consulting or prior roles with cloud providers (AWS/GCP), or a senior ML engineer/solution architect who has grown into a broader architectural role.

Technical Expertise:

- AI/ML Tools: TensorFlow, PyTorch, Scikit-Learn, Keras, H2O, LLMs, RAG.

- Cloud Platforms: AWS, Azure, GCP with strong knowledge of cloud-native ML services.

- MLOps: CI/CD for ML, Docker, Kubernetes, MLflow, Kubeflow.

- Data Engineering: ETL pipelines, big data frameworks (Spark, Hadoop).

- Programming: Python, SQL;

familiarity with API development and microservices.

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Qualifications

• Bachelor's degree in a related field, or equivalent practical experience

• 10 years of experience in a technical program management role

• 5 years of experience in hyperscale AI infrastructure, specifically across one or more data center design, networking, storage, and compute systems (e.g., compute, GPUs or TPUs)

Benefits

• Health, dental, vision, life, disability insurance

• Retirement Benefits: 401(k) with company match

• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)

• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

• Baby Bonding Leave: 18 weeks

• Holidays: 13 paid days per year

• The US base salary range for this full-time position is $240,000-$334,000 + bonus + equity + benefits

• Our salary ranges are determined by role, level, and location

• Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training

• Your recruiter can share more about the specific salary range for your preferred location during the hiring process

• 8 more items(s)

Responsibilities

• As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish

• You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company

• You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers

• Be a thought leader within Google and industry on the subject matter domain of the respective organization

• Establish a reliable and visible cadence for portfolio reviews, decision making, prioritization, and resource management, whereby improvements are measurable and the impact can be felt organization wide

• Guide measurable program performance gains correlated to execution velocity

• Be responsible for initiating and leading multiple organizations through pivots needed to address shifts in business trends and priorities

• Lead planning framework for program portfolio including direct influence over resourcing decisions, planning cadence, and planning stakeholders

• 5 more items(s)

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Job description

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance

• Retirement Benefits: 401(k) with company match

• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five ...years of employment

• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)

• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

• Baby Bonding Leave: 18 weeks

• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Kirkland, WA, USA; Sunnyvale, CA, USA.Minimum qualifications:

• Bachelor's degree in a related field, or equivalent practical experience.

• 10 years of experience in a technical program management role.

• 5 years of experience in hyperscale AI infrastructure, specifically across one or more data center design, networking, storage, and compute systems (e.g., compute, GPUs or TPUs).

Preferred qualifications:

• 10 years of experience with managing cross-functional or cross-team projects.

• Experience in optimizing performance for machine learning workloads on specialized hardware like Tensor Processing Unit (TPUs), Graphics Processing Unit (GPUs), and Central Processing Unit (CPUs).

About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $240,000-$334,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Be a thought leader within Google and industry on the subject matter domain of the respective organization.

• Establish a reliable and visible cadence for portfolio reviews, decision making, prioritization, and resource management, whereby improvements are measurable and the impact can be felt organization wide.

• Guide measurable program performance gains correlated to execution velocity.

• Be responsible for initiating and leading multiple organizations through pivots needed to address shifts in business trends and priorities.

• Lead planning framework for program portfolio including direct influence over resourcing decisions, planning cadence, and planning stakeholders.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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Job Description

What is the opportunity?

This is an exciting opportunity to lead and shape the AI/ML threat research and security landscape for one of the world's biggest banks. The Principal AI Security Researcher (Global Security) will lead defensive threat research on generative AI and agentic AI systems. You will identify emerging threats, develop proof-of-concept exploits, and embed securit...y into RBC's AI platforms as they're built—shaping our approach to AI security alongside our AI engineering teams. This is a technical, individual contributor role focused on making AI systems at RBC more secure by understanding how they could be attacked, validating mitigations, and advising engineering teams on the most critical threats to address first.

What will you do?

• Monitor and analyze emerging AI security threats, vulnerabilities, and attack vectors specific to RBC's generative AI and agentic AI deployments

• Research attack vectors such as prompt injection, model manipulation, data poisoning, model theft, and AI supply-chain attacks

• Conduct threat landscape assessments tailored to RBC's AI technology stack and competitive position and assess risks from AI-driven social engineering, deepfakes, and automated attack systems

• Stay current with evolving AI security threats and defense mechanisms

• Develop proof-of-concept exploits that demonstrate security risks in RBC's AI systems

• Test and validate security controls and mitigations end-to-end (from POC through testing)

• Produce technical outputs including threat analyses, deep-dive reports, and whitepapers

• Work with AI security engineers and ML/AI/DevOps teams to prioritize threats and develop practical mitigations

• Collaborate with third-party AI security vendors to influence their roadmaps and product capabilities

• Test hypotheses about how emerging threats and defenses will impact RBC's systems and operations

What do you need to succeed?

Must-have

• 7+ years of experience in security research and vulnerability research.

• 3+ years of experience researching AI/ML security threats, attack vectors, or related domains.

• Strong coding experience in one or more general-purpose languages: Python, Go, Java, or similar.

• Expert understanding of AI/ML systems, architectures, and operational patterns.

• Proven ability to influence technical strategy and security decision-making

Nice-to-have

• Published research, conference presentations, or open-source contributions in AI security

• Hands-on experience with large language models, multimodal models, and generative AI applications

• Experience with agentic AI systems

• Experience with security research labs, sandbox environments, or POC-to-production pipelines

• Experience collaborating with vendors and external security researchers

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• Flexible work/life balance options

• Opportunities to take on progressively greater accountabilities

• Access to a variety of job opportunities across business

#LI-post

#TECHPJ

Job Skills

AI Agents, AI Architecture, AI Platforms, AI Security, AI Systems, Application Deployment, Application Security, Artificial Intelligence (AI), Cloud Infrastructure, Cloud Security, Collaboration, Cyber Security Management, Cyber Threat Prevention, Decision Making, Design, DevOps, DevOps Engineering, Generative AI, Information Security Management, Information Technology Security, IT Security Architecture, IT Systems Integration, Planning, Threat and Vulnerability Management, Threat Assessment

Additional Job Details

Address:

16 YORK ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-03-27

Application Deadline:

2026-04-27

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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Qualifications

• 10+ years of experience in infrastructure architecture or engineering for large-scale platforms including design, implementation, operations, and optimization

• 4+ years designing or delivering GPU-accelerated platforms for AI, ML, or high-performance computing

• 3+ years Linux system administration in production environments

• 3+ years designing or operating distributed compute clusters for AI/HPC in hybrid cloud setups, including multi-GPU topologies, partitioning, scheduler integration, and scalability for edge-to-cloud workloads

• 2+ years with high-performance networking or storage for AI/HPC

• 2+ years building containerized platforms using Kubernetes or Red Hat OpenShift, including GPU operators/drivers, CUDA container runtime, and cluster lifecycle automation

• 2+ years automating infrastructure as code(IaC) with tools like Terraform and Ansible

• At least 2 end-to-end deployments of reference architectures in the cloud or on-prem, including variants with security controls, network segmentation, operational runbooks, and validation testing

• Experience in pre-sales or sales engineering, including discovery, solution demonstrations, and proposal/RFP contributions

• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve

• Limited immigration sponsorship may be available

• 8 more items(s)

Benefits

• A reasonable estimate of the current range is $130,800 to $241,000

• You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance

Responsibilities

• As a Solution Architect on the Silicon2Service team in Deloitte's AI & Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with Deloitte AI specialists and our ecosystem partners

• You will shape end-to-end solutions-from discovery and reference architecture mapping through sizing and implementation

• You will partner with Sales Executives, AI application specialists, delivery engineering, and managed services to help clients achieve measurable outcomes from private AI assets

• You will lead technical solution strategy for pursuits and active opportunities and translate complex client needs into clear, complete solutions and delivery requirements

• As a Solution Architect on the Silicon2Service team, you will be responsible for:

• Leading architecture for pursuits and active opportunities, including discovery, requirements, constraints, and target-state design

• Creatively defining reference architectures for on-premises, cloud, and hybrid GPU platforms across compute, network, storage, security, software and operations

• Driving architecture trade-offs and decisions across performance, scalability, reliability, locality, total cost of ownership, time-to-value, and risk

• Owning the technical solution strategy in proposals and RFPs, including architecture narrative, assumptions, dependencies, sizing guidance, and delivery approach

• Facilitating client workshops and technical reviews and translating engineering detail into executive-ready communications

• Architecting complex, innovative technology solutions with a focus on business outcomes, cost of quality, and long-term scalability and sustainability

• Engaging with C-Suite client leadership during sales and delivery, including leading technical pre-sales discussions, shaping proposals, and supporting the closing of new business opportunities

• Supporting go-to-market strategies, including participation in industry events, conferences, and client briefings The Team

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Solution Architect - AI Infrastructure

HPC Solution Architect - AI Infrastructure(S2S)

As a Solution Architect on the Silicon2Service team in Deloitte's AI & Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with Deloitte AI specialists and our ecosystem ...partners. You will shape end-to-end solutions-from discovery and reference architecture mapping through sizing and implementation. You will partner with Sales Executives, AI application specialists, delivery engineering, and managed services to help clients achieve measurable outcomes from private AI assets. You will lead technical solution strategy for pursuits and active opportunities and translate complex client needs into clear, complete solutions and delivery requirements.

Recruiting for this role ends on April 10th.

Work you'll do

As a Solution Architect on the Silicon2Service team, you will be responsible for:

• Leading architecture for pursuits and active opportunities, including discovery, requirements, constraints, and target-state design

• Creatively defining reference architectures for on-premises, cloud, and hybrid GPU platforms across compute, network, storage, security, software and operations

• Driving architecture trade-offs and decisions across performance, scalability, reliability, locality, total cost of ownership, time-to-value, and risk

• Owning the technical solution strategy in proposals and RFPs, including architecture narrative, assumptions, dependencies, sizing guidance, and delivery approach

• Facilitating client workshops and technical reviews and translating engineering detail into executive-ready communications

• Architecting complex, innovative technology solutions with a focus on business outcomes, cost of quality, and long-term scalability and sustainability.

• Engaging with C-Suite client leadership during sales and delivery, including leading technical pre-sales discussions, shaping proposals, and supporting the closing of new business opportunities

• Supporting go-to-market strategies, including participation in industry events, conferences, and client briefings The Team

The Silicon to Service team at Deloitte delivers end-to-end AI factories and advanced technology services that help organizations build, deploy, and operate large-scale, private AI and data platforms. We enable the next phase of enterprise AI adoption through private AI economics with cloud-like ese of use. Join this unique opportunity to work on innovative AI platforms and emerging technologies in the rapidly evolving AI market while solving complex enterprise problems for some of the world's largest organizations.

Qualifications

Required:

• 10+ years of experience in infrastructure architecture or engineering for large-scale platforms including design, implementation, operations, and optimization.

• 4+ years designing or delivering GPU-accelerated platforms for AI, ML, or high-performance computing

• 3+ years Linux system administration in production environments

• 3+ years designing or operating distributed compute clusters for AI/HPC in hybrid cloud setups, including multi-GPU topologies, partitioning, scheduler integration, and scalability for edge-to-cloud workloads.

• 2+ years with high-performance networking or storage for AI/HPC

• 2+ years building containerized platforms using Kubernetes or Red Hat OpenShift, including GPU operators/drivers, CUDA container runtime, and cluster lifecycle automation

• 2+ years automating infrastructure as code(IaC) with tools like Terraform and Ansible

• At least 2 end-to-end deployments of reference architectures in the cloud or on-prem, including variants with security controls, network segmentation, operational runbooks, and validation testing

• Experience in pre-sales or sales engineering, including discovery, solution demonstrations, and proposal/RFP contributions

• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

• Limited immigration sponsorship may be available. Preferred:

• 2+ years implementing AI/HPC cluster scheduling (Slurm and Kubernetes), including multi-tenant queues, quotas, and GPU-aware policies

• 2+ years supporting generative AI infrastructure patterns, including multi-node distributed training

• Experience with AI agents and frameworks

• Experience with high-throughput storage for AI/HPC

• Experience executing NVIDIA co-sell motions with OEMS (Dell, HPC, Lenovo), CSPs ( AWS, Azure, Google Cloud), or independent software vendors ( Run:ai, OpenShift, Weights & Biases) The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.

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At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

Our purpose

Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.

Professional development

From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers

Requisition code: 327802

Job ID 327802

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Job description

##

Location: London + *Hybrid

Salary: Excellent basic salary plus bonus and Vodafone benefits

Working hours: Full time 37.5 hours per week – Monday to Friday

• Hybrid

We believe that through collaboration and connection with our colleagues we can achieve great things. Our hybrid working approach allows our people to work both in the office and at home, providing the flexibility and resources you... need to succeed in your role. We don't require you to be in on specific days; instead, we ask people to come into the office 2-3 days each week, for at least 8 days per month. You should work with your line manager to understand what their expectations are for you, your specific role and your team.

##

Who We Are

We’re here to build a network the UK can count on – one that connects people, places and potential. Because no matter where you live, what your background is, or how you get online – we think everyone deserves the same chance to stay connected, and with VodafoneThree, that future’s being built – today.

We’re creating more than the UK’s best network. We’re helping close the digital divide, empower communities and drive meaningful progress.

We believe that everyone should feel they belong. Whoever you are and whatever your story, there’s space for you here. We’re building a workplace where different perspectives are welcomed, voices are heard, and everyone feels safe to show up as themselves.

You’ll join a team that genuinely cares – about each other, about our customers, and about the future we’re building. From day one, you’ll be welcomed, valued and encouraged to bring your whole self to work.

Why VodafoneThree

Join us and you’ll be at the heart of change. That means building responsibly, investing sustainably and creating opportunities that last.

We’re not just expanding connectivity; we’re reimagining what a connected nation looks like. With £11bn invested in 5G and digital infrastructure, your work will directly power businesses, services, and communities across the country.

You’ll work on real challenges, with real impact, across every corner of the country. Wherever you join us, whatever your role, you’ll be helping to build a future that works better for everyone.

We move at pace, because what we’re building matters – and we’re learning as we go. We’re proud of the progress we’ve made, but we’re just getting started.

Join our IT teams, which is at the core of our digital future, analysing and operating all our internal and customer-facing systems, with the aim of delivering the best customer experience. None of it would be possible without our innovative teams, creating a connected future with technologies like Cloud, AI and big data.

##

What you’ll do

We’re creating something special. We are joining forces to create the biggest mobile network provider in the UK. Through our collective strengths and talents, we will transform customers’ experience and create a best-in-class network for coverage, connectivity, and reliability, delivering greater value and more choice for the nation than ever before.

There are very few moments in our careers where we can feel the ground shifting beneath us, where we can sense that something bigger than we’ve known before is taking shape. We’re not just building a company. We’re going to build a culture, a legacy and a future to be proud of. This will require remarkable leadership and together we can set the standard in the industry and beyond for both customer and employee experience, in what it is a career-defining opportunity.

The role will lead the enterprise-wide architecture strategy for data platforms, AI/ML, and analytics capabilities. The role ensures secure, scalable, and cost-efficient architectural foundations aligned with IT Reinvent and StackX principles, enabling automation, decision intelligence, and value delivery across VodafoneThree. It provides architectural leadership, governance, and assurance across platforms and programmes.

• Lead and manage a team of IT/Solution Architects, providing direction, coaching, and performance management.

• Set the strategic architecture direction for data, AI/ML, analytics, and MLOps platforms, establishing reference architectures, blueprints, patterns, and guardrails.

• Lead discovery and impact assessments across analytics, data modelling, MDM, streaming, AI/ML, MLOps, and FinOps to shape high-quality Solution Intents, ITDAs, and HLDs.

• Partner with Engineering, Cyber, Privacy, Cloud, and Product teams to ensure platform designs are secure, scalable, and aligned with enterprise strategy.

• Define and govern reusable patterns, including ingestion, data modelling, integration, and AI/ML deployment frameworks, ensuring consistency and quality across domains.

• Provide expert assurance through delivery, validating LLDs, resolving architectural risks and escalations, and maintaining design integrity throughout the development lifecycle.

• Enable cloud and data platform optimisation, embedding FinOps practices, observability, automation, and cost efficiency across architectures.

• Champion data quality, governance, and lifecycle management through strong architectural foundations and cross-functional collaboration.

• Oversee vendor and tooling evaluation, ensuring technology choices align with enterprise needs, resilience, and long-term roadmap.

• Drive innovation in AI, automation, and cloud architecture, introducing modern solutions that accelerate business outcomes and reduce technical debt.

##

Who you are

• Strong background in solution, domain and enterprise architecture across large-scale systems and integration landscapes.

• Extensive experience in enterprise data architecture, AI/ML architecture, and cloud-native platform design.

• Strong knowledge of MLOps, data governance, streaming, analytics platforms, FinOps, and cloud-native patterns (AWS/GCP/Azure).

• Proven ability to shape large-scale, secure, and resilient solutions in regulated environments.

• Deep familiarity with architecture governance frameworks and processes (e.g., ARB, blueprints, roadmaps, patterns).

• Experience partnering with engineering, cloud, cyber, privacy, and product teams to deliver complex platform capabilities.

• Demonstrated ability to lead architectural assessments, resolve cross-domain design risks, and enable predictable delivery.

• Strong leadership, communication, and stakeholder engagement experience across technical and business domains.

Worried that you don’t meet all the desired criteria exactly?

We know that everyone is unique, with multiple aspects to their identity and different experiences behind them. We are passionate about Inclusion for All and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to apply as you may be the right candidate for this role or another role, and our recruitment team can help you see how your skills fit in.

##

What we offer

We care about our people’s success by offering great pay, bonuses, up to 28 days off plus bank holidays, and paid time for charity work. You can personalise our benefits for you and your family, like discounts, vouchers, a pension plan and loads more. We help with your career through our amazing learning tools and top-notch parental leave policies.

Need to Know

We are regulated by the Financial Conduct Authority and all offers of employment for this role are subject to background checks, including criminal (DBS) and financial checks to meet the regulators standards.

If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, a sign language interpreter, or assistive technology, please refer to the Accessibility section of our Careers website (https://careers.vodafone.com/uk/applying-to-us/) for guidance.

We use AI in different parts of our business to boost innovation, improve efficiency, and create new opportunities. We know many candidates use AI to fine-tune their CVs or prepare for interviews, but what we really care about is your unique experiences and achievements.

During the interview, we want you to rely on your own knowledge and skills to show us who you really are—your personality, creativity, and abilities. Above all, we’re looking for authenticity and can’t wait to get to know the real you.

##

#VodafoneThree

#LI-Hybrid

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Job description

AI Deployment Strategist

Location: Bristol/London - Hybrid, 3 days in the office

Salary: £80,000 - £130,000 p/a dependent on experience + excellent benefits

An embedded builder-consultant who partners with business units to identify AI automation opportunities — and builds them. You will lead discovery, develop agents, own deployment, and drive adoption across the organisation. This is not a st...rategy-only role; you will be building and shipping solutions alongside stakeholders.

Working across teams such as ops, finance, sales, and support, you will translate business problems into working AI solutions, collaborating closely with the AI Deployment Engineer where deep infrastructure is required.

Key duties & responsibilities:

• Partner with business units to identify and scope high-impact AI and automation opportunities

• Lead discovery and scoping sessions, then build the solution yourself

• Design and develop AI agents and workflows using Python and LLM frameworks

• Work with the AI Deployment Engineer to hand off anything requiring deep infrastructure

• Own post-deployment adoption: training, feedback loops, and iteration

• Build a library of reusable agent components and playbooks

• Proactively surface new automation opportunities across the business

Key skills:

• Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex)

• Prompt engineering & RAG pipelines

• Business analysis & stakeholder management

• Process mapping & workshop facilitation

• Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make)

Desirable skills:

• Experience in a deployment or implementation-focused technical role

• Familiarity with RPA tools

• Product management or solutions engineering background

• Claude Code, Claude Cowork, or Claude Skills

Experience & qualification:

• 3–5 years in a role blending business problem-solving with hands-on technical building — solutions engineering, technical consulting, or a deployment/implementation role.

• Able to design and build working AI agents and automation workflows independently using agent frameworks (LangChain, CrewAI, LlamaIndex, or similar) and / or tools such as Microsoft Copilot Studio, Claude Skills etc.

• Strong enough technically to assess feasibility and scope what is buildable; commercially sharp enough to prioritise what is worth building.

• Familiarity with LLMs, RAG pipelines, tool/function calling, and integrating AI into real business workflows.

• Proven ability to lead discovery workshops and translate complex business problems into clear, executable briefs.

• Comfortable owning a project end-to-end: discovery → build → deploy → adoption.

• Excellent stakeholder management — able to run a workshop with a sceptical ops team and earn trust quickly. 8. Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus.

• Nice to have: no-code/low-code tools (Zapier, Make, Power Automate) for rapid prototyping alongside coded solutions.

• Background or experience as software engineer for 1-2 years

• Bachelor's degree in a relevant STEM field, or equivalent practical experience

Application:

Please submit your CV along with a cover letter to bobo.cheung@smart.stream.

Smartstream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.

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Qualifications

• 2+ years of industry experience in applied ML/AI research or ML engineering

• Track record of publications in AI Safety, NLP robustness, or adversarial ML (ACL, NeurIPS, ICML, EMNLP, IEEE S&P, etc.) or equivalent applied research impact

• Strong Python and PyTorch/JAX skills with experience deploying ML models to production

• Demonstrated experience in at least one of: LLM jailbreak attacks/defense, agentic AI safety, adversarial ML, or human-AI interaction vulnerabilities

• Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure)

• Proven ability to take research from concept to code to production deployment with rigorous testing and monitoring

• Safety: Red-teaming frameworks, LLM benchmarking (SODE, ART, HarmBench), human behavior simulation

• Infrastructure: Kubernetes, Docker, Terraform, AWS/GCP, Ray, Spark

• Production systems that measurably improve safety KPIs: adversarial robustness, over-defensiveness rates, and incident response latency

• Publishable research outcomes (with company approval) demonstrating novel contributions to AI safety

• Infrastructure that scales reliably and enables the broader team to iterate quickly on safety research

• Mentorship: Collaborate with Principal Architects and senior researchers in AI safety and adversarial ML

• Velocity + Rigor: Balance high-quality research with mission-critical product focus

• 10 more items(s)

Benefits

• Real Impact: Your research ships directly, securing our core features and AI infrastructure at scale

• Comprehensive healthcare, dental, and vision coverage

• 401k plan

• Paid time off (PTO)

• And more!

• 2 more items(s)

Responsibilities

• Build the Future of Safe and Responsible AI

• Advance AI Safety: Design, implement, and evaluate attack and defense strategies for LLM jailbreaks (prompt injection, obfuscation, narrative red teaming) and deploy them as production-grade services

• Build Scalable Safety Infrastructure: Architect and deploy distributed safety evaluation pipelines handling millions of requests, with real-time monitoring, alerting, and incident response capabilities

• Large-Scale Data Engineering: Design ETL pipelines for processing terabytes of safety-related data (attack patterns, behavioral logs, model outputs); build data lakes and feature stores for safety ML systems

• Evaluate AI Behavior: Analyze and simulate human-AI interaction patterns at scale to uncover behavioral vulnerabilities, social engineering risks, and over-defensive vs. permissive response tradeoffs

• Agentic AI Security: Build production workflows for multi-agent safety (agent self-checks, regulatory compliance, defense chains) spanning perception, reasoning, and action

• MLOps & Model Deployment: Deploy safety models to production using containerized microservices, implement CI/CD pipelines for model updates, and manage model versioning and A/B testing infrastructure

• Benchmark & Harden LLMs: Create reproducible, automated evaluation protocols for safety, over-defensiveness, and adversarial resilience across diverse models with continuous integration

• Production Red-Teaming Platform: Build and operate an automated red-teaming infrastructure that continuously probes advanced LLMs (GPT-4o, GPT-5, LLaMA, Mistral, Gemma) at scale, with dashboards and alerting

• Real-Time Defense Systems: Implement context-aware, multi-turn attack detection and guardrail mechanisms as low-latency services handling 10K+ requests per second

• Agent Self-Regulation at Scale: Develop agentic architectures for autonomous self-check and self-correct with distributed orchestration and fault tolerance

• Safety Data Platform: Design and build data infrastructure for collecting, storing, and analyzing petabyte-scale safety telemetry with streaming analytics

• MLOps: Triton Inference Server, Weights & Biases, MLflow, Airflow, ArgoCD

• Well-documented, tested, and maintainable code with comprehensive CI/CD and monitoring

• 11 more items(s)

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Job description

Role Overview

Build the Future of Safe and Responsible AI

Are you an experienced AI engineer advancing the frontiers of AI safety, LLM jailbreak detection and defense, and agentic AI, with publications and production deployments to show for it? Join us to translate pioneering research into robust, scalable security systems and trustworthy LLM platforms that resist adversarial and behavioral expl...oits at enterprise scale.

The Mission

We're tackling cutting-edge AI safety across adversarial robustness, jailbreak defense, agentic workflows, and human-in-the-loop risk modeling. As an AI Engineer, you'll own high-impact projects from research conception through production deployment, directly contributing to our platform's security guarantees while building scalable, maintainable infrastructure.

What You'll Do

• Advance AI Safety: Design, implement, and evaluate attack and defense strategies for LLM jailbreaks (prompt injection, obfuscation, narrative red teaming) and deploy them as production-grade services.

• Build Scalable Safety Infrastructure: Architect and deploy distributed safety evaluation pipelines handling millions of requests, with real-time monitoring, alerting, and incident response capabilities.

• Large-Scale Data Engineering: Design ETL pipelines for processing terabytes of safety-related data (attack patterns, behavioral logs, model outputs); build data lakes and feature stores for safety ML systems.

• Evaluate AI Behavior: Analyze and simulate human-AI interaction patterns at scale to uncover behavioral vulnerabilities, social engineering risks, and over-defensive vs. permissive response tradeoffs.

• Agentic AI Security: Build production workflows for multi-agent safety (agent self-checks, regulatory compliance, defense chains) spanning perception, reasoning, and action.

• MLOps & Model Deployment: Deploy safety models to production using containerized microservices, implement CI/CD pipelines for model updates, and manage model versioning and A/B testing infrastructure.

• Benchmark & Harden LLMs: Create reproducible, automated evaluation protocols for safety, over-defensiveness, and adversarial resilience across diverse models with continuous integration.

Example Problems You Might Tackle

• Production Red-Teaming Platform: Build and operate an automated red-teaming infrastructure that continuously probes advanced LLMs (GPT-4o, GPT-5, LLaMA, Mistral, Gemma) at scale, with dashboards and alerting.

• Real-Time Defense Systems: Implement context-aware, multi-turn attack detection and guardrail mechanisms as low-latency services handling 10K+ requests per second.

• Agent Self-Regulation at Scale: Develop agentic architectures for autonomous self-check and self-correct with distributed orchestration and fault tolerance.

• Safety Data Platform: Design and build data infrastructure for collecting, storing, and analyzing petabyte-scale safety telemetry with streaming analytics.

Minimum Qualifications

• Master's degree in CS/EE/ML/Security or related field (Ph.D. preferred)

• 2+ years of industry experience in applied ML/AI research or ML engineering

• Track record of publications in AI Safety, NLP robustness, or adversarial ML (ACL, NeurIPS, ICML, EMNLP, IEEE S&P, etc.) or equivalent applied research impact

• Strong Python and PyTorch/JAX skills with experience deploying ML models to production

• Demonstrated experience in at least one of: LLM jailbreak attacks/defense, agentic AI safety, adversarial ML, or human-AI interaction vulnerabilities

• Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure)

• Proven ability to take research from concept to code to production deployment with rigorous testing and monitoring

Preferred Qualifications

• Experience in adversarial prompt engineering, jailbreak detection (narrative, obfuscated, sequential attacks)

• Prior work on multi-agent architectures or robust defense strategies for LLMs in production environments

• Experience with large-scale data processing frameworks (Spark, Flink, Kafka) and data warehousing

• MLOps expertise: model serving (Triton, TensorRT, vLLM), experiment tracking (W&B, MLflow), and CI/CD for ML

• Infrastructure as Code experience (Terraform, Pulumi) and DevOps best practices

• Experience with distributed computing frameworks (Ray, Dask) for scalable training and evaluation

• Familiarity with observability stacks (Prometheus, Grafana, DataDog) and incident management

• First-author publications, strong GitHub profile, or significant open-source contributions

Our Stack

• Modeling: PyTorch/JAX, Hugging Face, vLLM, Mistral, LLaMA, OpenAI APIs

• Safety: Red-teaming frameworks, LLM benchmarking (SODE, ART, HarmBench), human behavior simulation

• Infrastructure: Kubernetes, Docker, Terraform, AWS/GCP, Ray, Spark

• MLOps: Triton Inference Server, Weights & Biases, MLflow, Airflow, ArgoCD

• Data: PostgreSQL, Redis, Kafka, Snowflake/BigQuery, dbt

• Observability: Prometheus, Grafana, DataDog, PagerDuty

What Success Looks Like

• Production systems that measurably improve safety KPIs: adversarial robustness, over-defensiveness rates, and incident response latency

• Publishable research outcomes (with company approval) demonstrating novel contributions to AI safety

• Well-documented, tested, and maintainable code with comprehensive CI/CD and monitoring

• Infrastructure that scales reliably and enables the broader team to iterate quickly on safety research

Why Centific

• Real Impact: Your research ships directly, securing our core features and AI infrastructure at scale

• Research to Production: Bridge the gap between cutting-edge research and production systems

• Mentorship: Collaborate with Principal Architects and senior researchers in AI safety and adversarial ML

• Velocity + Rigor: Balance high-quality research with mission-critical product focus

Location: Palo Alto, CA or Seattle, WA (Remote)

Employment Type: Full-Time

Benefits:

• Comprehensive healthcare, dental, and vision coverage

• 401k plan

• Paid time off (PTO)

• And more!

Company Overview:

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Learn more about us at centific.com.

Centific is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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Qualifications

• Bachelor’s in computer science, data science, machine learning, NLP, AI, linguistics, or related field required

• Active enrolled student during the months of May through August 2026

• 1+ years of experience with python required

• Hands-on and theoretical knowledge of Data Science, Machine Learning, NLP or AI

• Knowledge of one or more of the following, Python, including libraries such as Scikit-learn, PyTorch, Pandas, NumPy, spaCy, NLTK, and Matplotlib

• 2 more items(s)

Benefits

• Hands-on Experience: engage in meaningful projects that align with your academic and career goals

• Mentorship: benefit from guidance and mentorship from seasoned professionals in your department

• Professionally Network: connect with professionals across various departments, building valuable relationships for your future career

• Learning Opportunities: access training and development resources to enhance your skills and knowledge

• Inclusive Environment: join a diverse and inclusive workplace that values collaboration and innovation

• 2 more items(s)

Responsibilities

• As a Gen AI Intern, you will be working with a team of Gen AI professionals who focus on developing, optimizing, and enhancing intelligent solutions using Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) servers

• You will develop skills and provide actionable insights to the business

• You’ll also gain railroad business knowledge in relation to Machine Learning models

• Design, develop, and help optimize internal LLM and GenAI agentic application

• Work on the latest models and changes in the technology

• Communicate results and implications to colleagues and business partners

• Schedule: Monday through Friday; 9AM -5PM

• 4 more items(s)

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Job description

Date: Mar 25, 2026

Location: Atlanta, GA, US, 30308

Company: Norfolk Southern Corp.

Requisition 39725:

A resume helps you stand out to hiring managers and recruiters; your resume communicates your experience and your brand. While it is not required, we encourage you to include an up-to-date resume along with a completed job application to give you the best opportunity to be considered. A compl...ete resume helps us to better understand your unique background, relevant experiences, and passions. We look forward to learning about you.

Norfolk Southern offers a unique opportunity to be part of our proud legacy that spans nearly 200 years. We are a customer-centric, operations-driven team dedicated to advancing safety, serving communities, and driving innovation for tomorrow's rail. As part of Norfolk Southern, you’ll join a collaborative team where there are opportunities for growth across the organization. We are building a culture where everyone can thrive by owning and driving exceptional results, being humble and leading with trust, serving our customers with excellence, and collaborating and coaching to win.

As an intern working within the Generative AI team, you’ll gain real life experience during your college academic career. As a Gen AI Intern, you will be working with a team of Gen AI professionals who focus on developing, optimizing, and enhancing intelligent solutions using Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) servers. You will develop skills and provide actionable insights to the business. You’ll also gain railroad business knowledge in relation to Machine Learning models.

As a Norfolk Southern Intern, you will expect to gain the following experience:

• Hands-on Experience: engage in meaningful projects that align with your academic and career goals.

• Mentorship: benefit from guidance and mentorship from seasoned professionals in your department.

• Professionally Network: connect with professionals across various departments, building valuable relationships for your future career.

• Learning Opportunities: access training and development resources to enhance your skills and knowledge.

• Inclusive Environment: join a diverse and inclusive workplace that values collaboration and innovation.

Responsibilities • Design, develop, and help optimize internal LLM and GenAI agentic application.

• Work on the latest models and changes in the technology.

• Communicate results and implications to colleagues and business partners.

Education Required

• Bachelor’s in computer science, data science, machine learning, NLP, AI, linguistics, or related field required.

• Active enrolled student during the months of May through August 2026.

Skills Required

• 1+ years of experience with python required.

• Hands-on and theoretical knowledge of Data Science, Machine Learning, NLP or AI.

• Knowledge of one or more of the following, Python, including libraries such as Scikit-learn, PyTorch, Pandas, NumPy, spaCy, NLTK, and Matplotlib.

Skills Preferred:

• Skilled in SQL, NoSQL, Milvus, Pinecone, PGVector databases

• Exposure to agentic LLMs and knowledge of orchestration frameworks such as LangGraph.

• NLP and AI/ML Frameworks, exposure with training NLP models from scratch, working with Large Language Models, and using libraries such as spaCy, NLTK, and Transformers.

Work Conditions

Location: Atlanta, GA

Environment: Hybrid (three days in office; two days remote)

Duration: 12 weeks

Schedule: Monday through Friday; 9AM -5PM

Company Overview

Since 1827, Norfolk Southern Corporation (NYSE: NSC) and its predecessor companies have safely moved the goods and materials that drive the U.S. economy. Today, it operates a customer-centric and operations-driven freight transportation network. Committed to furthering sustainability, Norfolk Southern helps its customers avoid 15 million tons of yearly carbon emissions by shipping via rail. Its dedicated team members deliver more than 7 million carloads annually, from agriculture to consumer goods, and is the largest rail shipper of auto products and metals in North America. Norfolk Southern also has the most extensive intermodal network in the eastern U.S., serving a majority of the country’s population and manufacturing base, with connections to every major container port on the Atlantic coast as well as the Gulf of Mexico and Great Lakes. Learn more by visiting www.NorfolkSouthern.com.

At Norfolk Southern, we believe in celebrating our individuality. By leveraging the unique backgrounds and viewpoints of our employees, we can create a culture of innovation, respect, and inclusion. We know that employees thrive in a workplace where differing viewpoints, ideas, and experiences are freely shared and valued. As such, we encourage all employees to contribute their distinctive skills and capabilities to our organization.

Equal employment opportunities are available to all applicants regardless of race, color, religion, age, sex, national origin, disability status, genetic information, veteran status, sexual orientation, and gender identity. Together, we power progress.

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About Katalyze AI

Katalyze AI is a fast-growing AI-driven biotech platform company on a mission to make life-saving drugs accessible and affordable for everyone. Our AI Agents help pharmaceutical and biotech companies increase production efficiency, reduce costs, and minimize waste. We're a team of humble, fast-moving, and curious craftspeople working at the intersection of science and AI.

About... the Role

We're hiring an Account Manager to help us deepen relationships with our growing base of pharma and biotech clients. As a key member of our Sales team, you'll own a portfolio of accounts and be responsible for ensuring customers achieve meaningful outcomes with the Katalyze AI platform — from onboarding through renewal and expansion.

You'll work closely with our customers — scientists, operations leaders, and quality teams at pharma manufacturers — to understand their goals, navigate challenges, and demonstrate the ongoing value of AI-driven biomanufacturing. This is a high-impact role where you'll be directly contributing to Katalyze AI's growth while helping clients bring life-saving medicines to market faster and more efficiently.

What You’ll Do

• Own and grow a portfolio of pharma and biotech accounts, driving renewals and expansion revenue

• Build trusted relationships with key stakeholders including scientists, quality leads, and operations directors

• Conduct regular business reviews to align on customer goals and demonstrate ROI

• Partner with Customer Success and Product teams to ensure clients are getting value from the platform

• Identify upsell and cross-sell opportunities and execute on them in collaboration with the Sales team

• Serve as the voice of the customer internally — surface insights that inform product and go-to-market strategy

• Manage the full post-sale commercial cycle including contract negotiations and renewals

What We’re Looking For

• 3+ years of B2B account management or sales experience, ideally in SaaS or life sciences

• Track record of meeting or exceeding retention and expansion targets

• Strong relationship-building skills with the ability to engage technical and executive stakeholders

• Excellent communication skills — you can translate complex AI or biotech concepts into clear business value

• Self-starter mentality with strong organizational skills and comfort managing multiple accounts

• Experience working in a fast-paced, early-stage startup environment is a plus

• Background in pharma, biotech, or life sciences is highly valued

Nice to Have

• Familiarity with GxP environments, manufacturing operations, or regulated industries

• Experience with CRM tools (e.g., Salesforce, HubSpot)

• Knowledge of AI/ML products or data platforms

• French language skills (an asset for Quebec-based clients)

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