## About the Role

We are looking for a motivated Applied GenAI Engineer to build AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based workflows.

The role involves working with Python, LangChain, and LangGraph to develop practical AI solutions and solve real-world business problems.

## Key Responsibilities

- Develop AI applications using Python and LLMs.
- Build RAG pipelines involving document loading, chunking, embeddings, and vector search.
- Develop LLM workflows, chains, and tool integrations using LangChain.
- Build multi-step workflows and AI agents using LangGraph.
- Integrate LLM APIs and external services.
- Test, evaluate, debug, and improve AI applications.
- Take end-to-end ownership of application development and delivery.

## Must-Have Skills

- Hands-on experience with Python, including functions, classes, data structures, and exception handling.
- Practical experience with LLMs and prompt engineering.
- Experience building RAG applications.
- Hands-on experience with LangChain and/or LangGraph.
- Knowledge of embeddings, token management, and context windows.
- Experience integrating REST APIs and external services.
- Knowledge of MySQL or other relational databases and SQL queries.
- Strong troubleshooting and problem-solving skills.

## Good-to-Have Skills

- Experience with vector databases, Elasticsearch, or OpenSearch.
- Familiarity with Hugging Face and embedding models.
- Knowledge of reranking techniques and conversational memory.
- Experience with FastAPI, Git, Docker, and deployment.

## Who Can Apply?

- Candidates with 6+ months of relevant experience.
- Fresh graduates with strong practical GenAI projects.
- Developers who have built LLM applications, chatbots, or RAG-based projects.
- Candidates with relevant internships or hands-on project experience.

## Education

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is preferred. Equivalent practical experience and strong project work are also welcome.

If this role is of interest, please apply in confidence.

## Role Overview

We’re looking for an AI Automation Expert who lives and breathes AI. You should be able to automate almost any business process, use AI heavily in your daily work, and stay on top of the latest AI tools, models and repos. You’ll build automations for our clients and recommend the right tools and approach for every project.

## Responsibilities

- Design and build end-to-end automations across finance, operations, CRM, sales, marketing and support
- Build AI agents and integrate LLMs (Claude, OpenAI, Gemini) into real workflows
- Recommend the best AI tools, models and setups for each client and internal use
- Research and test new AI tools, GitHub repos and agent skills, and report what’s worth using
- Use AI video, image and voice tools (HeyGen, Higgsfield, Runway, ElevenLabs and similar) for content and automation
- Connect apps through APIs and webhooks
- Test, document and maintain live automations

## Requirements

- Strong hands-on experience automating business processes with n8n, Make, Zapier or similar
- Heavy daily AI user with deep, up-to-date knowledge of the AI landscape
- Experience with AI agents, Claude Code / Cursor, MCPs, skills and prompt engineering
- Comfortable finding, setting up and running GitHub repos and open-source AI tools
- Knowledge of AI video editing and content tools
- Solid understanding of APIs, webhooks and JSON
- Experience with CRMs (HubSpot, GoHighLevel, Salesforce or similar)
- Clear English communication and the confidence to give recommendations
- Portfolio of automation and AI projects is a must

## Nice to Have

- Python or JavaScript scripting
- Voice agent experience (ElevenLabs, Vapi, Bland)
- Experience working with UK/US clients

## What We Offer

- Contract-based role
- Fully remote
- Monthly pay
- Flexible working hours
- Work on cutting-edge AI projects for international clients

## How to Apply

Apply with your CV, portfolio and a short note on the best automation you’ve built and the AI tools you use daily.

Pay: Rs40,000.00 - Rs50,000.00 per month

Work Location: Remote

## About Patronus AI

Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world's intelligence.

We are the team behind some of the earliest and most influential research in AI evaluation like FinanceBench, Lynx, SimpleSafetyTests, CopyrightCatcher, Humanity's Last Exam, and more. We are formerly AI researchers and engineers from companies like Meta AI, Amazon AGI, and Google. Our customers include foundation model labs and Fortune 500 enterprises like Adobe. We are backed by top-tier investors like Lightspeed Venture Partners, Notable Capital, Stanford University, Noam Brown, Gokul Rajaram, and more.

## At a glance

- Engagement: Independent contractor, on site
- Pay: $50–$150/hour
- Start: Rolling
- Location: San Francisco headquarters, in office 5 days a week
- Team: Expert Operations

## The role

Our work is produced by practicing domain experts on contract, across many specialist domains. You keep them working.

When an expert cannot submit, cannot access a project, or has not been paid what they expected, that is yours. It covers onboarding paperwork and access, tooling and environment problems, and the whole invoicing and payment path from submitted work to money arriving. Volume is high and it spans every domain we hire into, so you will be the one person who sees the same breakage three times and goes and fixes the cause.

Getting paid correctly and on time is the clearest signal of whether a company is worth working for.

This is a position of trust. You will see what people are owed and you will sit on the path that money takes to reach them. We hire for that first and the rest second. It is also why the role is on site with the team rather than remote.

## What you'll do

- Run the support queue for the expert bench: onboarding and access, tooling and environment issues, invoicing and payment questions. Resolve what you can, escalate what you cannot, and keep an honest record of both.
- Own the payment path end to end. Know what is owed, what has been submitted, what has been approved and what has actually landed, and chase the gaps before anyone has to ask you.
- Get new experts set up and productive: accounts, access, contracts, payment details, and the first week of small problems that stop people starting.
- Work with the expert managers who own the relationships. They know their people, you know the systems, and an expert should never have to work out which of you to ask.
- Fix causes, not tickets. When the same issue arrives for the third time, write the documentation, change the workflow, or take it to the engineers who own the tool.
- Tell us plainly when a process is the problem.
- Use AI aggressively. Triage, drafting, reconciliation and reporting should all be automated as far as they go, so your hours are spent on the cases that need a person.

## Required

- Three or more years in high-volume support, operations or contractor and payroll operations, with people rather than companies as the customer.
- You are comfortable with money. Invoices, rates, approvals, corrections, and the conversation when someone has been underpaid.
- Precision under volume. A payments mistake is not a typo to the person it happens to.
- A track record of being trusted with money or sensitive personal data, and references who will say so without hesitating.
- Clear, calm writing in professional English. Most of this job happens in text, often with someone who is frustrated and has the right to be.
- Ability to work independently, prioritising without being told what is urgent, while working alongside experts in time zones that are not yours.
- Enough technical confidence to debug an access or environment problem a step or two before escalating.
- Comfort working inside internal tooling that is still being built, and reporting the bugs rather than working around them.

## Nice to have

- Experience supporting a contingent, freelance or marketplace workforce.
- Experience with international contractor payments, including the ways they fail.
- Familiarity with ticketing and support tooling, and with building the macros and documentation behind it rather than only using it.

## Scope of support

You are not the point of contact for an expert's work. Feedback, performance and retention sit with the expert managers, and the quality bar sits with the quality team. Your job is to make sure nobody is blocked by anything other than the work itself.

## How hiring works

- Resume review and a conversation with Talent Operations
- A practical exercise: a real support and payments scenario, handled in writing
- Interview with the team you will sit with
- Reference checks, and a background check before you start
- Onboarding and your first week on the queue

Patronus AI is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

By clicking 'Apply', you agree to both of the following:

1) Greenhouse's Terms of Service and Privacy Policy

2) Patronus AI, Inc. Privacy Policy.

## Our Company

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

## What You'll Do

As an AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products. You will work in a technically rich environment with talented peers, contributing to product planning, design, and execution while influencing the evolution of Teradata's AI capabilities.

In this role, you will:

- Design, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance.
- Collaborate with cross-functional engineers and product partners to shape design and consistently deliver end to end features.
- Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability.
- Work with SQL and NoSQL databases to implement efficient data models and service access patterns.
- Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs).
- Use AI powered engineering tools to improve development quality, speed, and productivity.
- Mentor engineers, supporting them in technical planning, implementation, and best practices.
- Identify and resolve system performance bottlenecks, optimizing code, design, and infrastructure.
- Write unit and integration tests and participate in code reviews to uphold engineering excellence.
- Investigate production issues, ensuring timely and effective solutions.
- Stay current with emerging trends in engineering, AI/ML, and cloud-native technologies.

## Who You'll Work With

You will be part of a high-performing engineering team building core components of Teradata's AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata's AI product roadmap and technological direction.

## Required Qualifications

- Bachelor's degree in Computer Science or equivalent from a recognized institution.
- 1+ years of experience in backend services, distributed systems, or data platform development.
- Strong proficiency in Java, Go, or Python for service development.
- Good understanding of design principles, distributed system patterns, and service framework.
- Hands-on experience designing and developing RESTful APIs.
- Experience with SQL and NoSQL databases and data modelling.
- Strong debugging, problem solving, and troubleshooting skills.
- Experience with modern containerization and orchestration tools such as Kubernetes.
- Knowledge of public cloud platforms.
- Experience with AI productivity tools (e.g., GitHub Copilot).
- Ability to work independently, drive workstreams, and deliver high quality outcomes.
- Strong communication and collaboration skills.

## Preferred Qualifications

- Familiarity with messaging systems such as Kafka.
- Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs.
- A track record of influencing design decisions and driving engineering best practices.
- The ability to mentor engineers and guide them through design, planning, and execution.
- A proactive mindset and comfort working in fast paced, dynamic environments.

Curiosity, adaptability, and a passion for building impactful AI-driven products

Supervisor: Regional Director, Africa

Supervisory Responsibility: Country Program Officers, project staff, consultants, and contractors

## Purpose

Lead the end-to-end delivery of a multi-country youth AI literacy and skilling initiative across Ghana, Kenya, Nigeria, and South Africa. The Project Lead is accountable for reaching young people at scale and converting that reach into verified learning and applied capability, which makes this a hybrid role: program direction and delivery discipline, campaign and audience-growth leadership, and accountability for the quality of the learning itself.

IYF manages and measures its programs through the Program Performance and Accountability Framework (PPAF), an internal framework built on three commitments. The Project Lead is accountable for delivering on it by:

- Delighting the funder and partners through high-quality delivery against committed participation and learning targets,
- Stewarding the project budget, sub-awards, data, and safeguarding obligations with rigor and transparency, and
- Growing the reach, conversion, and quality of the learning pathway through experimentation and evidence.

## Program Leadership and Delivery

Own implementation across the four markets: country-level plans, workplans, milestones, and budget. Ensure delivery of outputs and outcomes in compliance with funder expectations, the award agreement, and approved budgets. Manage risk, compliance, data privacy, and youth safeguarding across all channels and venues, and lead timely, accurate reporting to the funder.

## Campaign and Audience Growth

Own the youth engagement funnel from first exposure through active learning to applied capability, and treat it as a conversion system to be measured and improved rather than a set of one-off activities. This includes:

- Setting channel strategy and conversion targets across social, creator-led, partner, paid, and in-person channels, and reallocating effort and spend against performance.
- Managing the marketing agency, creative contractors, and youth ambassador and creator roster, including scopes of work, briefs, quality standards, and performance review.
- Translating program content into messaging and formats that reach and convert young audiences, localized by market, language, and device constraints.
- Operationalizing analytics, marketing automation, and AI-enabled tools to track reach, engagement, completion, and retention, and to run structured experiments on what moves youth from awareness into verified learning.
- Establishing lifecycle engagement that brings participants back into deeper stages of the pathway rather than treating each interaction as terminal.

## Funder Stewardship and Program Expansion

Serve as the primary day-to-day liaison with the funder on the initiative, ensuring timely and transparent communication, responsiveness to funder priorities, and credible evidence of results. Coordinate closely with the Regional Director, who owns the senior funder relationship. Build the case for renewal, extension, and scaling by demonstrating quality, capturing lessons learned, and providing technical inputs and contextual knowledge to new business opportunities when requested.

## Learning Quality and Content

Own the quality of what young people actually learn. Working with IYF’s pedagogy advisors and subject-matter experts, set the learning objectives and curriculum standards for the initiative, review and approve the learning content and digital learning journeys produced by the marketing agency before publication, and ensure the learning experience holds up for young people on low-end devices, limited data, and in local languages. Bring judgment on what makes practical AI skills usable in informal work, micro-enterprise, and entry-level digital jobs, rather than exposure alone. Ensure that what young people learn in the early stage builds toward the applied tools of the advanced stage, in coordination with the technical partner, so the pathway reads as one continuous journey rather than two separate offers.

## Partnership and Consortium Management

Manage the delivery consortium, including anchor, regional, and contributing partners in each market, as well as the technical partner for the advanced learning stage. Lead partner selection, due diligence, onboarding, sub-award management, and performance oversight, ensuring consistent quality and compliance across a distributed delivery model.

## Program Quality, Budget Holding, and Operational Excellence

Serve as Budget Holder for the initiative, ensuring rigorous fiscal oversight, accurate forecasting, and compliance with funder and IYF standards. Work with finance and operations teams to track expenditures, review financial reports, and ensure timely corrective action where needed. Identify risks in implementation and coordinate mitigation measures to protect program performance and reputation. Apply adaptive management so that data and evidence change decisions mid-implementation, and promote youth-centered approaches that position young people as active participants in design, delivery, and evaluation rather than only as audiences.

## Measurement, Learning, and Evidence

Working with the Monitoring and Evaluation Manager, ensure participation and learning are verified through credible, privacy-conscious methods, and that engagement thresholds are applied consistently across markets. Drive a learning agenda that documents what works, feeds adaptation during implementation, and produces evidence the funder and the sector can use.

## Team Leadership and Supervision

Supervise country-level Program Officers, project staff, and consultants, providing clear guidance, constructive feedback, and accountability for performance across four markets and multiple time zones. Promote staff learning opportunities and support career development. Build a collaborative and inclusive team culture rooted in IYF’s values and in the principles of Delight, Steward, and Grow.

## Representation

Represent the initiative with partners, institutions, and public audiences in the region, in coordination with the Regional Director, who owns the senior funder relationship. Perform other duties as assigned.

## Required Skills/Experience

- Minimum of 10 years of progressively responsible experience leading complex, multi-country programs, or equivalent senior experience leading growth, product or operations at scale in the technology or digital education sectors, with significant work experience in Sub-Saharan Africa and in youth employment, digital skills, education, or workforce development.
- Proven track record driving measurable audience growth and conversion, including reach, engagement, completion, and retention, in campaign-based or digital-first delivery models.
- Demonstrated experience in learning design, curriculum development, or skills training for youth or adult learners, including judgment on the quality and relevance of educational content produced by third parties.
- Demonstrated experience managing marketing or creative agencies, contractors, and creator or influencer partnerships, including briefs, scopes of work, and performance management.
- Deep fluency in digital analytics, CRM or marketing automation systems, and emerging AI-enabled tools, with the judgment to use them to inform decisions rather than only to report results.
- Experience managing implementing partners and sub-awards across multiple countries, including due diligence, compliance, and performance oversight.
- A mindset that is both strategic and entrepreneurial: eager to experiment, measure, learn, and adapt mid-implementation.
- Experience delivering for corporate, technology, or foundation funders, including reporting against committed targets.
- Exceptional organizational and project management skills; the ability to identify and establish priorities and attend to detail in a professional manner.
- Confident, persuasive communication skills in English, both oral and written, across internal, partner, and public audiences. Proficiency in a language widely spoken in the target markets, such as Kiswahili, Nigerian Pidgin, Yoruba, Twi or isiZulu, is highly desirable.
- Strong coaching and team leadership skills, with a collegial management style that emphasizes both results and working with a highly skilled, multi-cultural team.
- Deep personal commitment to social and economic development that recognizes youth as critical actors and beneficiaries.
- Excellent computer skills using MS Office products and other software platforms used by IYF.
- Ability to travel frequently within Africa and internationally as needed.
- A Master’s degree in Economics, Education, Communications, Social Sciences, Business, or a closely related field is strongly preferred; Bachelor’s degree plus commensurate experience is acceptable.

Job level: Director I

Location: Remote position based in Nigeria, Kenya, Ghana, or South Africa. (Applicants must have the legal authority to work and reside in the country of hire. IYF will not provide work authorization to individuals applying to this position nor expatriates)

## Culture and Values

At IYF, we seek leaders with the following qualities.

- Purpose-driven: self-motivated by the mission to grow our organization and transform the future for youth globally.
- Self-accountable: able to deliver on commitments with minimal oversight, thriving in a high-functioning, entrepreneurial team.
- Growth & learning-oriented: seeking better solutions and improvements to drive growth and innovation across the org.
- Empathetic and collaborative: skilled at building relationships, working effectively across cultures, and elevating team performance.

We strongly encourage candidates of all different backgrounds and identities to apply. Each new hire is an opportunity for us to bring in a different perspective, and we are always eager to further diversify our organization. IYF is committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career.

## Position Overview

The Sales AI Analyst will represent EIS Sales within the Sales Support team, converting field pain points into scalable AI, analytics, and process improvements that increase seller productivity, improve pipeline and forecast visibility, reduce manual effort, and strengthen leadership decision-making. The role will serve as the key business liaison between EIS Sales leadership, Sales Excellence, Sales Support, Siemens IT, the TEA team, and broader digitalization teams.

This position will be remote/hybrid in the Atlanta, GA market.

## Sales Process & Productivity

- Assess workflows across EIS Sales, Sales Excellence, Sales Support, channel engagement, reporting, forecasting, account planning, and pipeline management.
- Identify manual work, data gaps, bottlenecks, and reporting friction that reduce seller productivity or slow leadership decision-making.
- Recommend process simplification, standardization, and automation opportunities with measurable business impact.

## AI Use Case Strategy & Adoption

- Identify AI, automation, and analytics use cases that improve sales productivity, pipeline visibility, forecast quality, customer responsiveness, and decision-making.
- Maintain a prioritized EIS Sales AI opportunity backlog with use cases, expected value, impacted users, data needs, dependencies, and implementation status.
- Support pilots, proof-of-concepts, user testing, adoption planning, and change management for approved solutions.

## IT, Digitalization & Governance Partnership

- Serve as the primary EIS Sales business liaison to Siemens IT, the TEA team, Sales Excellence, and broader digitalization teams.
- Translate EIS Sales requirements into clear technical requirements and translate technical constraints into practical options for sales leaders.
- Represent regional EIS Sales priorities in enterprise AI governance, solution deployment, testing, and broader corporate initiatives.

## Measurement & Value Realization

- Define metrics for adoption, productivity improvement, time savings, cost avoidance, data quality, and business value.
- Develop dashboards and executive reporting to track initiative progress and outcomes.
- Report results, lessons learned, and scaling recommendations to EIS Sales and Sales Excellence leadership.

## Basic Qualification

- Bachelor's degree in business, engineering, information systems, computer science, operations management, data analytics, or a related field.
- 3+ years of experience in sales operations, sales excellence, business analysis, process improvement, operational excellence, project management, AI or automation tools, CRM-enabled workflows, reporting, or data analytics.
- Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization.

## Preferred Qualifications

- Microsoft Copilot, Power Platform, Power BI, Power Automate, Microsoft Fabric, CRM reporting, data visualization, process mapping, Lean or continuous improvement, user adoption, and change management.

Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be located here: https://www.benefitsquickstart.com/siemens/index.html

Create a better #TomorrowWithUs.

## About Siemens

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers.

## Our Commitment to Equity and Inclusion in our Diverse Global Workforce

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

We are looking for a software engineer first, with hands-on ML/LLM experience from a security perspective. You take findings from penetration tests and AI red-team exercises, find the root cause in code, models, pipelines or cloud config, and ship durable fixes.

Beyond fixing, you build the defences that stop the same class of issue returning: guardrails around model endpoints, secure patterns for RAG and agents, and security checks in CI/CD. You work on our own AI products and support client engagements where remediation is in scope.

## Remediation

- Triage penetration test and AI red-team findings, reproduce them and identify root cause.
- Ship fixes in application code, APIs, model-serving layers, data pipelines and cloud infrastructure.
- Add regression tests for every fixed issue, including adversarial prompt tests in CI. Track findings to closure and report remediation status to engineering leads and clients.

## AI/LLM defences

- Design and deploy guardrails around model endpoints: input and output filtering, prompt-injection detection, PII redaction and policy enforcement.
- Build secure patterns for RAG and agents: least-privilege tool access, sandboxed execution, human approval for risky actions, and tenant isolation.
- Secure the ML supply chain: model weights, datasets and dependencies (signing, scanning, provenance).
- Add logging, monitoring and alerting for AI workloads, and write incident runbooks for AI-specific events.

## Secure engineering

- Threat-model new AI features against the OWASP Top 10 for LLM Applications, MITRE ATLAS and NIST AI RMF.
- Build security checks into CI/CD (SAST, dependency scanning, secret scanning, model scanning).
- Review code and architecture for AI products and vendor AI services.
- Train developers on secure AI patterns and publish reusable libraries and templates.

## Key Skills

- LLM & GenAI engineering: LLM APIs (OpenAI, Anthropic, Azure OpenAI, Vertex AI) and open-weight models; RAG, embeddings and vector databases; agent and tool frameworks such as LangChain or LlamaIndex.
- AI threat mitigation: defending against direct and indirect prompt injection, jailbreaks, system-prompt and data leakage, data poisoning, model extraction and excessive agency. Mapped to the OWASP Top 10 for LLM Applications and MITRE ATLAS.
- Guardrails & secure by design AI: input and output filtering, PII redaction and policy enforcement around model endpoints. Least-privilege tool access, sandboxing, human approval for risky agent actions, and tenant isolation, using tools such as NeMo Guardrails, Llama Guard, Lakera or Presidio.
- Application security fundamentals: OWASP Top 10, authentication and authorisation, secrets management, cryptography basics, and secure code review.
- ML fundamentals & supply chain: how models are trained, served and evaluated; enough model understanding to tell model failures from system failures. Securing model weights, datasets and dependencies through signing, scanning (ModelScan) and provenance.
- DevSecOps & CI/CD: building security checks into pipelines, including SAST (Semgrep), dependency and secret scanning (Snyk, Dependabot, Gitleaks), and automated adversarial prompt tests (Garak, PyRIT, Promptfoo).
- Containers & cloud security: Docker and Kubernetes; IAM, networking and secure deployment of AI workloads on AWS, Azure or GCP.

## Requirements

- 5-7 years in software engineering, application security or security engineering, including at least 2 years in a security-focused role. Must have hands-on work securing or building at least one LLM or ML application in production.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Cybersecurity, Artificial Intelligence or a related discipline, or equivalent practical experience.

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on December 5, 2026

## Work you'll do

As an AI and Data Science Engineer III on the Advertising, Marketing & Commerce team, your responsibilities include:

- Translating business goals into machine learning use cases and model design approaches.
- Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns.
- Applying clustering, sampling, feature transformation, and predictive modeling techniques to develop and refine solutions.
- Building proofs of concept, interpreting model results, and validating that solutions perform as intended.
- Collaborating with clients and cross-functional teams, including analytics and data engineering teams, throughout solution development and delivery.

## Candidate Skills

- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others

## The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

## Required

- Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
- 5+ years of industry experience outside of academia applying data science or machine learning methods
- Experience translating business goals into machine learning use cases and model design
- Experience performing exploratory data analysis and developing predictive models
- Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Limited immigration sponsorship may be available

## Preferred

- Master's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field
- Experience manipulating large marketing data sets and performing extract, transform, and load activities
- Experience with boosted trees, logistic regression, classification techniques, unsupervised models, large language models, or experimental design
- Experience with data sets generated in advertising technology or marketing technology environments
- Experience presenting complex data insights to non-technical audiences
- Experience with deep learning architectures or reinforcement learning

## Compensation and Benefits

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 $137,500 - $193,600.

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.

This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared Documents/Benefits/USBenefitsJourneyCDandETAM.pdf?csf=1&web=1&e=pKjS1C .

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.

## Responsibilities

- Enhance data analysis and AI application capabilities for the bank
- Utilize big data and AI technologies to effectively control risks, reduce operating costs, and support management decision-making
- Communicate with business units amongst the Bank for user requirements, business need analysis, functional specific preparation
- Assist in the development, testing, launching and production support of data analysis / application and AI applications for the bank
- Prepare relevant documentation and provide training to technical supports, business users and subordinates
- Conduct market and technology research, and introduce innovative technologies and solutions based on the bank's development to drive business through technological innovation

## Requirements

- Bachelor’s degree or above in Computer Science, Artificial Intelligence, Machine Learning or related disciplines;
- At least 3 years of experience in data analysis and AI applications, preferably from commercial banking or financial industry. Candidate who is familiar with data of banking business systems is highly preferred;
- Solid experience in big data and AI application development, with prior experience in model fine-tuning (SFT), prompt engineering, and retrieval augmented generation (RAG) is preferred;
- Proficiency in two or more of the following: Python/Java, TensorFlow/PyTorch, Transformer, open-source large model application development, AI agent frameworks, RAG, machine learning
- Self-motivated, able to accomplish multiple tasks, with good problem-solving and communication skills
- Good command of written and spoken English and Chinese (including Mandarin)
- Candidate with more experience would be considered as Manager

## More Job Information

Salary: 30000 - 40000 / MONTH
Job Function: 銀行 · 金融服務 - 一般 · 其他
Location: 中環
Employment Term: 全職
Education: 學士

AI is one of the defining issues of our time. Sitting at the heart of the government’s response to it, the AI Growth and Economic Preparedness (AIGE) Analysis Team provides expert analysis to shape key decisions.

The team works to support the UK economy’s preparation for AI. We model the implications of future economic and geopolitical scenarios, examine the technologies, infrastructure and markets that make up the AI stack, and analyse the economic forces shaping different outcomes. We bring this evidence together to inform policies that prepare the UK’s AI sector and wider economy for different futures.

We also develop evidence to support AI adoption, innovation and growth. This includes understanding how businesses make decisions about AI, the barriers they face, the organisational and skills changes needed to use it effectively, and what government interventions achieve in practice.

Our team generates robust evidence through economic and statistical analysis, operational research, qualitative and quantitative social research, and evaluation. We work closely with policy colleagues and analytical teams across government, including the AI Taskforce and AI Economics Institute, to identify evidence gaps, test assumptions and shape better, more evidence-based policies.

Our vision is to be the authoritative voice of AI policy analysis in government, delivering rapid, high-quality insights, coordinating analysis across departments, and fostering a collaborative, inclusive team culture.

If you join us, you will be part of a growing team at the forefront of the UK’s efforts to harness the potential of AI for the country. As a G7 analyst, you will identify priority evidence gaps, shape the analytical agenda and lead work to address them. You will work closely with policy colleagues to anticipate evidence needs and ensure analysis influences policy decisions.

We take our learning and development seriously, and work in close partnership with our policy colleagues to ensure evidence is at the heart of decision-making. Please reach out if you would like to informally discuss the role before putting in an application.

We welcome applications from economists, statisticians, social researchers and operational researchers. You will contribute expertise from your own profession while working with colleagues who bring complementary analytical skills.

You do not need previous experience of working on AI. If the role appeals to you, please consider applying even if you don’t feel you meet every part of the person specification.

## Person specification

You will provide analytical leadership on AI adoption, growth and economic preparedness, working closely with other analysts and the AI Growth and Economic Preparedness policy team. You will identify where evidence is missing or insufficient, judge which gaps matter most for policy decisions, and develop and lead analytical work to address them.

You will proactively shape policy questions, challenge assumptions and identify opportunities for evidence to improve policy design and delivery. You will take responsibility for analytical approaches, quality and delivery, drawing on expertise across professions and commissioning research where appropriate.

Your portfolio will depend on team priorities and your skills and experience. Examples of work you may lead include:

- AI innovation, sector growth and economic preparedness: Developing evidence on the UK AI sector and the wider economy’s preparedness for AI. This could include analysing economic and geopolitical scenarios, examining the technologies and markets across the AI stack, and conducting research with businesses and other stakeholders to understand their decisions, dependencies and responses to change. You will use this evidence to identify policy needs and assess options for preparing for different futures.
- AI adoption and business behaviour: Understanding how businesses make decisions about AI, the barriers they face and the organisational changes needed to use it effectively. This could include survey development, qualitative research with businesses and analysis of adoption patterns.
- AI adoption and economic impacts: Developing evidence on how AI affects productivity, growth, jobs and skills, combining economic and statistical analysis with research on businesses’ and workers’ experiences.
- Policy design, delivery and evaluation: Assessing what support businesses need and how interventions work in practice. This could include developing theories of change, commissioning process and impact evaluations, and examining take-up, delivery barriers and outcomes to inform programme improvements.

In addition to these core projects, you will sometimes be required to reprioritise and provide analytical support in emerging priority areas. The role therefore requires flexibility and the ability to work at pace. However, we will ensure you have consistently strong development opportunities and a chance to shape the direction of your work.

## Essential Criteria

- Working Together: Ability to build and maintain effective networks across analytical and policy teams, bringing together different perspectives and expertise to shape analytical priorities, challenge assumptions and develop robust solutions.
- Delivering at Pace: Experience of leading complex analytical work, setting clear priorities and making sound judgements about where analytical effort will have greatest impact. Ability to maintain quality while responding flexibly to changing evidence needs and policy priorities.
- Communicating and Influencing: Ability to communicate complex evidence clearly and authoritatively, using analytical judgement to draw out implications for decision-makers, challenge constructively and influence policy development.
- Analysis: Significant experience of applying methods from your analytical profession to complex policy questions, exercising judgement over analytical approaches, identifying evidence gaps and limitations, assuring analytical quality, and translating findings into clear advice for decision-makers.

## Desirable Criteria

Background in AI policy, technology policy, or related analytical fields

## Qualifications

Analytical profession membership - either current or applicants will have to undertake relevant tests

## Behaviours

We'll assess you against these behaviours during the selection process:

- Working Together
- Delivering at Pace
- Communicating and Influencing

## Technical skills

We'll assess you against these technical skills during the selection process:

- Effective Communication (GES), Presenting and disseminating data effectively (GSG), Using and promoting social research (GSR), Achieving impact with analysis (GORS)
- Analysis of data (GES), Data Analysis and Acquiring Data and Understanding Customer Needs (GSG), Technical skills (GSR), Knowledge and application of OR (GORS)

## Salary and Benefits

Alongside your salary of £58,275, Department for Science, Innovation & Technology contributes £16,882 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides (opens in a new window).

The Department for Science, Innovation and Technology offers a competitive mix of benefits including:

- A culture of flexible working, such as job sharing, homeworking and compressed hours.
- Automatic enrolment into the Civil Service Pension Scheme, with an employer contribution of 28.97%.
- A minimum of 25 days of paid annual leave, increasing by 1 day per year up to a maximum of 30.
- An extensive range of learning & professional development opportunities, which all staff are actively encouraged to pursue.
- Access to a range of retail, travel and lifestyle employee discounts.

## Office attendance

The Department operates a discretionary hybrid working policy, which provides for a combination of working hours from your place of work and from your home in the UK. The current expectation for staff is to attend the office or non-home based location for 40-60% of the time over the accounting period.

## Artificial intelligence

Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance (opens in a new window) for more information on appropriate and inappropriate use.

## Selection process details

This vacancy is using Success Profiles (opens in a new window), and will assess your Behaviours, Ability, Experience and Technical skills.

After submission of the first stage of your application you will be invited to complete a Civil Service Numerical Test. If you successfully pass the test, you will be invited to complete the final stage of the application.

Please complete the online tests as soon as possible (within 24-48 hours is recommended), the closing date for the tests is 23:55 on 13/11/2026. If you fail to complete the online test before the deadline your application will be withdrawn. Guidance for the test will be available when you are invited to take the test. The tests are administered online and accessed via the CS Jobs website.

As part of the application process you will be asked to complete a CV and personal statement.

Further details around what this will entail are listed on the application form.

Please use your personal statement (in no more than 750 words) to outline how you meet the skills and experience requirements for the role. You must also state which one of the four government analytical professions you are applying for or are already a member of as part of the statement.

Applications will be sifted on CV and Personal Statement.

In the event of a large number of applicants, applications will be sifted on the CV only.

Candidates who pass the initial sift may be progressed to a full sift, or progressed straight to assessment/interview.

The interview will consist of behaviour and technical questions.

Interviewees will be asked to deliver a presentation; further details will be provided nearer the time.

The interview process will consist of two stages. The first stage will assess candidates against the required behaviours. Candidates who meet the benchmark at this stage will progress to a second interview, which will assess the technical competencies and include a presentation.

## Sift and interview dates

Sift and interview dates to be confirmed.

## Further Information

Former DSIT recruitment campaigns are continuing as usual, but candidates should be aware that following the Government’s announcement on the changes to some civil service departments, roles will be subject to the machinery of government moves and will ultimately be in one of the new departments. We will provide more information if you are selected for a role. This work remains of high importance to the civil service, and we thank you for your continued interest.

For further information on National Security Vetting please visit the Demystifying Vetting website.

## Reasonable Adjustment

We are proud to be a disability confident leader and we welcome applications from disabled candidates and candidates with long-term conditions.

Information about the Disability Confident Scheme (DCS) and some examples of adjustments that we offer to disabled candidates and candidates with long-term health conditions during our recruitment process can be found in our DSIT Candidate Guidance. A DSIT Plain Text Version of the guidance is also available.

We encourage candidates to discuss their adjustment needs by emailing the job contact which can be found under the contact point for applicants section.

If you are experiencing accessibility problems with any attachments on this advert, please contact the email address in the 'Contact point for applicants' section.

If successful and transferring from another Government Department a criminal record check may be carried out.

New entrants are expected to join on the minimum of the pay band.

A location based reserve list of successful candidates will be kept for 12 months. Should another role become available within that period you may be offered this position.

Candidates who meet the minimum benchmark may be placed on a Reserve List for consideration for similar roles, including those at a lower grade. Candidates who narrowly miss the benchmark and are not placed on the Reserve List may still be considered for an offer in a similar role at a lower grade.

Please note terms and conditions are attached. Please take time to read the document to determine how these may affect you.

Any move to the Department for Science, Innovation and Technology from another employer will mean you can no longer access childcare vouchers. This includes moves between government departments. You may however be eligible for other government schemes, including Tax Free Childcare; for further information visit the Childcare Choices website.

DSIT does not normally offer full home working (i.e. working at home); but we do offer a variety of flexible working options (including occasionally working from home).

DSIT cannot offer Visa sponsorship to candidates through this campaign.

DSIT holds a Visa sponsorship licence but this can only be used for certain roles and this campaign does not qualify.

In order to process applications without delay, we will be sending a Criminal Record Check to Disclosure and Barring Service on your behalf.

However, we recognise in exceptional circumstances some candidates will want to send their completed forms direct. If you will be doing this, please advise Government Recruitment Service of your intention by emailing Pre-EmploymentChecks.grs@cabinetoffice.gov.uk stating the job reference number in the subject heading.

Applicants who are successful at interview will be, as part of pre-employment screening, subject to a check on the Internal Fraud Database (IFD). This check will provide information about employees who have been dismissed for fraud or dishonesty offences. This check also applies to employees who resign or otherwise leave before being dismissed for fraud or dishonesty had their employment continued. Any applicant’s details held on the IFD will be refused employment.

A candidate is not eligible to apply for a role within the Civil Service if the application is made within a 5 year period following a dismissal for carrying out internal fraud against government.

## Feedback

Feedback will only be provided if you attend an interview or assessment.

## Security

Successful candidates must undergo a basic (or equivalent) criminal record check.

Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window). See our vetting charter (opens in a new window).

People working with government assets must complete baseline personnel security standard (opens in new window) checks.

## Nationality requirements

This Job Is Broadly Open To The Following Groups

- UK nationals
- nationals of the Republic of Ireland
- nationals of Commonwealth countries who have the right to work in the UK
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
- individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
- Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Further information on nationality requirements (opens in a new window)

## Working for the Civil Service

The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants.

We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window).

The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.

The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.

## Diversity and Inclusion

The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window).

This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative.

Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.

## Job Contact

- Name : Stephen Kelly
- Email : stephen.kelly4@dsit.gov.uk

## Recruitment team

- Email : dsitresourcing.grs@cabinetoffice.gov.uk

## Further information

Appointment to the Civil Service is governed by the Civil Service Commission’s Recruitment Principles. If you feel that your application has not been treated in accordance with the recruitment principles, and wish to make a complaint, then you should contact in the first instance dsitresourcing.GRS@cabinetoffice.gov.uk. If you are not satisfied with the response that you receive, then you can contact the Civil Service Commission. For further information on bringing a complaint to the Civil Service Commission please visit their web pages at: https://civilservicecommission.independent.gov.uk/contact-us/

## Job Overview

We are looking for an experienced AI Engineer to design, develop, and implement production-ready AI applications and intelligent agent-based solutions. The ideal candidate will have strong software engineering skills and hands-on experience developing LLM-powered applications, conversational AI solutions, and agentic workflows.

This role focuses on building and deploying practical AI solutions that integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and backend services to solve real-world business challenges.

Candidates should have hands-on experience with Google Agent Development Kit (ADK) and developing AI agents or chatbot applications in production environments.

## Key Responsibilities

- Design, develop, and deploy AI-powered applications using modern LLM APIs and agentic frameworks.
- Build intelligent AI agents and multi-step workflows to support business use cases.
- Develop and implement RAG pipelines using embeddings, vector databases, and semantic search.
- Integrate LLM-based capabilities into existing backend applications, APIs, and microservices.
- Develop conversational AI solutions and chatbot applications with context-aware responses.
- Design and optimize prompts to improve response accuracy, consistency, and overall LLM performance.
- Implement guardrails and validation mechanisms to minimize hallucinations and improve AI output quality.
- Optimize AI applications for performance, scalability, reliability, and response latency.
- Monitor, troubleshoot, and enhance AI solutions deployed in production environments.
- Collaborate with product and engineering teams to deliver scalable, reliable AI solutions.

## Required Skills & Qualifications

- Strong hands-on software engineering experience developing and delivering production-grade applications.
- Practical experience building Agentic AI applications, AI agents, or LLM-powered chatbots.
- Hands-on experience with Google Agent Development Kit (ADK) for building agent-based applications.
- Strong programming skills in Python or a comparable backend programming language.
- Experience integrating LLM APIs and working with Large Language Models (LLMs).
- Hands-on experience implementing Retrieval-Augmented Generation (RAG) architectures.
- Knowledge of embeddings, semantic search, and vector databases such as Pinecone, Weaviate, FAISS, or similar.
- Experience with REST APIs, microservices, and distributed application architectures.
- Strong understanding of prompt engineering, prompt evaluation, and LLM behavior.
- Ability to troubleshoot, optimize, and maintain AI applications in production environments.

## Preferred Qualifications

- Experience with agentic AI frameworks such as LangChain and Google ADK.
- Exposure to multi-agent architectures and workflow-driven AI applications.
- Experience with LLM fine-tuning, model customization, or optimization.
- Familiarity with cloud platforms such as AWS, Google Cloud Platform, or Azure.
- Experience working with structured and unstructured data pipelines.
- Understanding of AI application security, reliability, and operational best practices.

## Additional Requirements

- Strong problem-solving and analytical skills.
- Ability to work independently and collaborate effectively with cross-functional teams.
- Comfortable working in a fast-paced engineering environment.
- Must be willing to work in a hybrid environment in Houston, TX.

Applied GenAI Engineer – RAG & LLM Applications

About the Role

Key Responsibilities

Must-Have Skills

Good-to-Have Skills

Who Can Apply?

Education