### Qualifications

Strong experience in designing and implementing high-performance, large-scale distributed systems

Proven experience in implementing and deploying AI/ML platforms at scale

Expertise in building agent-based architectures, evaluation frameworks, and prompt/context engineering

5 more items(s)

### Responsibilities

BM25 and advanced retrieval techniques

Architect and deliver scalable, high-performance distributed systems

Design and deploy AI/ML and GenAI platforms at enterprise scale

8 more items(s)

## Job Description

• Strong experience in designing and implementing high-performance, large-scale distributed systems

• Proven experience in implementing and deploying AI/ML platforms at scale

• Expertise in building agent-based architectures, evaluation frameworks, and prompt/context engineering

• Knowledge of MCP (Model Context Protocol) servers

• Hands-on experience in LLM inference optimization, including batching and caching strategies

• Strong experience with Kubernetes and cloud infrastructure (AWS/Azure/GCP)

• Proficiency in at least one programming language (Python, Java, Go, etc.)

• Expertise in designing agent data stacks & retrieval systems, including:

• Vector databases

• Hybrid search

• Data freshness strategies

• Memory systems

• Graph reasoning

• BM25 and advanced retrieval techniques

Key Responsibilities

• Architect and deliver scalable, high-performance distributed systems

• Design and deploy AI/ML and GenAI platforms at enterprise scale

• Build and manage agent-based architectures, including:

• Prompt and context engineering

• MCP servers

• Evaluation frameworks

• Optimize LLM inference pipelines for latency, throughput, and efficiency

• Design and implement agent data & retrieval systems (vector DBs, hybrid search, memory, graph-based reasoning)

• Lead Kubernetes-based, cloud-native deployments

• Provide technical leadership, architecture governance, and hands-on mentoring to engineering teams

### Qualifications

2–5 years building digital, automation, or AI‑enabled solutions in a practical environment

Proven experience developing lightweight applications, workflows, or automation tools

Strong working knowledge of: 8 more items(s)

### Responsibilities

You will help redefine how work gets done by embedding AI into real workflows — turning manual, fragmented processes into scalable, intelligent delivery systems

Your work won’t sit in a lab — it will be adopted across global projects, teams, and clients

Turn real consulting challenges into working AI solutions used in live delivery

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## Job Description

What if your ability to build with AI could directly transform how global sustainability challenges are solved?

At ERM, this isn’t experimental work on the sidelines — this is embedding AI into the core of consulting delivery, at scale, across industries and geographies.

We’re hiring AI Solutions Engineers to join our global AI Accelerator team — a small, high‑impact group building practical, deployable solutions that consulting teams actually use. If you are someone who moves quickly from idea to working solution, and care about real‑world impact over proof‑of‑concepts, this role is built for you.

Why This Role Matters

Sustainability consulting is evolving rapidly — but delivery models are still catching up.

This role exists to close that gap.

You will help redefine how work gets done by embedding AI into real workflows — turning manual, fragmented processes into scalable, intelligent delivery systems. Your work won’t sit in a lab — it will be adopted across global projects, teams, and clients.

What Your Impact Is

• Turn real consulting challenges into working AI solutions used in live delivery

• Build repeatable accelerators that scale impact across regions and sectors

• Reduce manual effort and unlock higher‑value consulting time

• Enable teams to adopt AI with confidence through hands‑on solutions, not theory

• Influence how ERM operationalises responsible, enterprise‑ready AI at scale

Required

What You'll Bring

• 2–5 years building digital, automation, or AI‑enabled solutions in a practical environment

• Proven experience developing lightweight applications, workflows, or automation tools

• Strong working knowledge of:

• Python, SQL, or JavaScript/TypeScript

• Low/no‑code tools (e.g. Power Platform, n8n, Streamlit)

• Hands‑on use of AI development tools (e.g. ChatGPT, GitHub Copilot, Cursor, Claude)

• Experience working with APIs, integrations, and workflow orchestration

• Ability to translate ambiguous business problems into working technical solutions

• Strong communication skills with the ability to work directly with non‑technical stakeholders

• Comfortable operating in fast‑moving, loosely defined environments

• Degree in Computer Science, Engineering, Data Science, or related field

Preferred

• Experience in consulting or client‑facing delivery environments

• Exposure to sustainability, ESG, EHS, or operational reporting workflows

• Familiarity with:

• LangChain / LangGraph / LLM orchestration frameworks

• Cloud platforms (Azure, AWS, GCP, Azure OpenAI)

• Power BI, Tableau, or similar tools

• Understanding of responsible AI, governance, and data protection principles

• Experience building reusable solutions adopted across teams or regions

Key Responsibilities

• Work directly with consulting teams to identify repeatable challenges and inefficiencies

• Design and build AI‑enabled workflows, automations, dashboards, and micro‑applications

• Develop reusable assets (prompts, templates, accelerators) for global deployment

• Leverage LLMs and AI coding tools to rapidly prototype and iterate solutions

• Translate business needs into practical, scalable technical solutions

• Support adoption through demos, coaching, and hands‑on enablement

• Evaluate when solutions should be scaled, standardised, or integrated into enterprise platforms

• Ensure all solutions align with data governance and responsible AI principles

• Contribute to AI Accelerator best practices and innovation pipelines

Where You’ll Work

Global opportunities across:?North America | Continental Europe | India | LATAM?Who We Are:?As the largest global pure play sustainability consultancy, we partner with the world’s leading organizations, creating innovative solutions to sustainability challenges and unlocking commercial opportunities that meet the needs of today while preserving opportunity for future generations.

At ERM we know that creating a diverse, equitable and inclusive work environment is an essential part of making our company a great place to build a career. We also see our diversity as a strength that helps us create better solutions for our clients. Our diverse team of world-class experts supports clients across the breadth of their organizations to operationalize sustainability, underpinned by our deep technical expertise in addressing their environmental, health, safety, risk and social issues. We call this capability our “boots to boardroom” approach for its comprehensive service model that allows ERM to develop strategic and technical solutions that advance objectives on the ground or at the executive level.

Please submit your resume and brief cover letter.

ERM does not accept recruiting agency resumes. Please do not forward resumes to our jobs alias, ERM employees or any other company location. ERM is not responsible for any fees related to unsolicited resumes.

ERM is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Thank you for your interest in ERM!

### Qualifications

6+ years of experience in a technical, partner, or customer-facing role such as Technical Director, Solutions Architect, or Partner Engineer within the cybersecurity industry

Demonstrable expertise in cloud security and modern AI/ML lifecycles (e.g., foundational models, agentic workflows, AI gateways)

Proven track record of working directly with technology alliance partners (CSPs, AI platforms) on joint solution development, technical enablement, and co-marketing initiatives

3 more items(s)

### Benefits

For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below

The offered compensation may also include restricted stock units and a bonus

$194,000.00 - $265,500.00/yr

### Responsibilities

In this role, you will be the central coordinator and technical visionary behind our partnerships with major Cloud Service Providers (AWS, Google Cloud, Azure) and leading AI/ML platforms (NVIDIA, Databricks, Snowflake, Hugging Face, IBM, and more)

As a key leader in the ecosystem, you will incubate and validate partner use cases, define clear technical strategies across the portfolio, and act as the technical heart of our AI security initiatives (including Prisma AIRS)

You will manage a team of Partner Engineers, ensuring the successful design and delivery of robust integrations, while also driving field enablement and creating compelling technical content to position us as the AI Security partner of choice

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## Job Description

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!?We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

Job Summary

We are seeking an experienced and highly strategic Technical Director, Technology Partnerships to lead and expand our integrations and go-to-market (GTM) strategy with our most strategic technology alliances. In this role, you will be the central coordinator and technical visionary behind our partnerships with major Cloud Service Providers (AWS, Google Cloud, Azure) and leading AI/ML platforms (NVIDIA, Databricks, Snowflake, Hugging Face, IBM, and more). As a key leader in the ecosystem, you will incubate and validate partner use cases, define clear technical strategies across the portfolio, and act as the technical heart of our AI security initiatives (including Prisma AIRS). You will manage a team of Partner Engineers, ensuring the successful design and delivery of robust integrations, while also driving field enablement and creating compelling technical content to position us as the AI Security partner of choice.

Key Responsibilities

• Partnership Frameworks: Develop and implement repeatable partnership frameworks by leveraging proven successful patterns established with strategic tech partners. Drive joint selling motions and GTM strategies.

• AI Security Evangelism: Collaborate with top AI companies to create compelling technical stories on AI security. Evangelize our AI solutions (Prisma AIRS) with strategic partners and CSPs through webinars, blogs, and industry events.

• Technical Execution & Special Projects: Lead the technical execution of special cross-portfolio projects (e.g., Cloud on Cortex convergence, AI Gateway integrations, model scanning, and red-teaming) and build technical content for strategic partnerships.

• Telemetry & Metrics: Identify telemetry internally and externally with partners to prioritize strategic partner GTM opportunities and maintain metrics of our success in the field.

• Field Enablement: Organize hands-on workshops and technical enablement programs for Sales, GTM, and Marketing teams to ensure they can effectively position and sell combined solutions. Support customer calls, meetings, EBCs, etc. providing technical and business details on the value the joint solution offers

• Team Leadership: Manage and mentor Senior Partner Engineers, providing guidance on complex integration design, development support, and escalation workflows.

• Product Strategy: Act as the voice of our partners to internal Product and Engineering teams, providing critical feedback to influence the integration and feature roadmap.

### Qualifications

Required Qualifications

• 6+ years of experience in a technical, partner, or customer-facing role such as Technical Director, Solutions Architect, or Partner Engineer within the cybersecurity industry.

• Demonstrable expertise in cloud security and modern AI/ML lifecycles (e.g., foundational models, agentic workflows, AI gateways).

• Proven track record of working directly with technology alliance partners (CSPs, AI platforms) on joint solution development, technical enablement, and co-marketing initiatives.

• Strong ability to architect complex technical solutions and translate them into compelling, market-ready messaging (solution briefs, blogs, presentations).

• Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts clearly to both developers and C-level executives.

• Experience in managing technical teams or leading cross-functional technical projects.

Preferred Qualifications

• Direct experience building integrations or strategic partnerships with CSPs and/or large ISVs.

• Deep understanding of APIs, Network Security, and AI tooling.

• Strong program management skills with a focus on data-driven GTM outcomes.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.?$194,000.00 - $265,500.00/yr

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.

Palo Alto Networks 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.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship?: Yes

### Qualifications

Hands-On GenAI Experience: You have built production or near-production GenAI systems - not just demos

You've wrestled with evaluation, hallucination, latency, and cost at the architecture level

Agentic AI Fluency: Practical experience building agentic workflows and multi-agent systems using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or similar

9 more items(s)

### Benefits

Competitive salary with performance-based bonus

PTO, holidays, and sabbatical program

Health, dental, vision, and life insurance

3 more items(s)

### Responsibilities

You'll be orchestrating and building agentic AI systems in real enterprise delivery environments - and helping clients understand what they've actually got

You'll shape how we deliver GenAI engagements and help define what good looks like for our clients

Architect GenAI Solutions: Design end-to-end architectures for AI-powered applications - from LLM selection and prompt engineering through orchestration, retrieval-augmented generation (RAG), and integration with enterprise data environments

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## Job Description

CompassX is a boutique business and technology consulting firm. We help Fortune 500 and high-growth clients deliver their most strategic initiatives, from enterprise transformations to digital and data-driven projects. With over 15 years of proven results, we’ve expanded across industries including financial services, pharmaceuticals, aerospace, consumer products, and quick service restaurants.

We are honored to be recognized as a three-time winner of Consulting Magazine’s Best Boutique Firms to Work For, and previously recognized as a “Best Place to Work” in Southern California and one of INC.’s 5000 fastest-growing private companies in the U.S.

We're looking for a GenAI Solution Architect who can do both: design the architecture of AI-powered systems and get hands-on building them. This isn't a slide-deck role or a pure advisory role. You'll be orchestrating and building agentic AI systems in real enterprise delivery environments - and helping clients understand what they've actually got.

At CompassX, we're delivering AI-enabled solutions for some of the most complex enterprise clients in financial services, pharma, and beyond. We need someone who has moved past the hype and is actively building with the tools - agents, orchestration frameworks, LLM integrations, and the data infrastructure that makes them work in production.

This role sits at the leading edge of our AI practice. You'll shape how we deliver GenAI engagements and help define what good looks like for our clients.

What You'll Do

• Architect GenAI Solutions: Design end-to-end architectures for AI-powered applications - from LLM selection and prompt engineering through orchestration, retrieval-augmented generation (RAG), and integration with enterprise data environments.

• Build and Orchestrate Agents: Go beyond design - build agentic AI workflows using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or similar. You know how to orchestrate multi-agent systems and have shipped something real.

• Own the AI Stack: Work across the full GenAI delivery stack: LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock), vector databases, RAG pipelines, evaluation frameworks, and deployment infrastructure.

• Bridge to Enterprise Systems: Integrate GenAI solutions with existing enterprise architecture - data platforms, APIs, identity and access controls, and compliance requirements. Make AI work within the constraints of real organizations.

• Advise Client Leadership: Translate technical architecture decisions into clear strategic narratives for client leadership. Help clients move from AI experimentation to AI-enabled operations.

• Accelerate the Team: Bring patterns, reusable components, and technical standards to the delivery team. Be the person who makes everyone else faster.

What You'll Bring

• Hands-On GenAI Experience: You have built production or near-production GenAI systems - not just demos. You've wrestled with evaluation, hallucination, latency, and cost at the architecture level.

• Agentic AI Fluency: Practical experience building agentic workflows and multi-agent systems using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or similar. You understand where these tools shine and where they fall apart.

• LLM Platform Breadth: Hands-on experience with major LLM platforms and APIs: OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, or equivalent. You know the trade-offs between them.

• Engineering Foundation: Strong Python skills and comfort in cloud-native environments (AWS, Azure, or GCP). You can write the code, not just spec it.

• Data Architecture Context: Understanding of how AI systems consume data - vector stores, embeddings, RAG architectures, and the data infrastructure that sits underneath production AI applications.

• Consulting & Communication: Experience working in client-facing or consulting delivery contexts. You can navigate organizational complexity and explain AI architecture to both technical teams and senior business stakeholders.

• Builder Mentality: You default to building. You use AI tools to accelerate your own work. You're excited to operate at the frontier of what's actually deployable in enterprise environments - not just what's theoretically possible.

### Benefits

• Competitive salary with performance-based bonus

• PTO, holidays, and sabbatical program

• Health, dental, vision, and life insurance

• Retirement plan with company match from day one

• Learning and professional development support

• Small-firm culture with direct access to leadership

Our consultants say CompassX is a place where they can truly find their own path. As part of a smaller firm, they see the impact of their work, have an identity, and know their voice matters. They value the freedom to take the reins of their careers, shape their client work, and maintain a direct line to leadership.

With CompassX’s focus on serving local Southern California clients, consultants not only build lasting relationships but also see the results of their work in the communities where they live.

At CompassX, you won’t just follow a path - you’ll create one.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This role is posted as a full-time position. We also welcome applications from independent contractors able to work on a 1099 or C2C basis.

Hunton Andrews Kurth LLP

Director of Data, AI and Privacy Policy

Hunton Andrews Kurth LLP · Washington, DC, United States · via LinkedIn

15 hours ago

Full-time

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## Job Description

Job Details

Description

The Centre for Information Policy Leadership (CIPL) at Hunton Andrews Kurth LLP is a leading global privacy and data policy think and do tank working at the intersection of law, policy and technology, with a membership comprising more than 85 multinational companies across a broad range of industry sectors. Since being founded in 2001, we have served as a trusted partner of business leaders, regulators and policymakers developing best practices, thought leadership and solutions for privacy, data and digital policy, law, and compliance. CIPL:

• INFORMS via publications, member events and public fora;

• CONNECTS global industry and government leaders;

• SHAPES the future of data policy and strategy; and

• CREATES innovative solutions and elevates best practices.

CIPL’s leadership and staff are globally recognized data privacy thought leaders. They include former senior public and private sector professionals with extensive global and national experience in developing, interpreting, implementing, and enforcing laws, policies, and corporate privacy programs relevant to the data economy.

CIPL is looking for a Director of Data, AI and Privacy Policy to join our team in our Washington, DC, or London office.

About The Role

The primary purpose of the Director of Data, AI and Privacy Policy is to advance CIPL’s policy priorities and initiatives in the US in relation to a wide range of AI, privacy, and data related law, policy, implementation and compliance topics, including the US law and policy development process. In addition, the Director of Data, AI and Privacy Policy will also work on international AI, data and privacy projects with CIPL’s global team of privacy experts based in London and Brussels.

### Responsibilities

Key Responsibilities Include:

• Hands on drafting and overseeing of CIPL research and deliverables – white papers, reports, op-eds, and other written deliverables.

• Working closely with CIPL team members to develop strategies, oversee and implement project plans to advance CIPL’s US and global policy agenda on AI, data, and privacy topics. (This includes the following topics: proposed legislation; cross border data flows; digital sovereignty and data localization; accountability-based information management, AI, data and privacy governance; regional developments (e.g., US (state and federal), Canada, Latin America and Asia-Pacific); the role of the corporate data protection or privacy officer; privacy risk management; transparency and user control; privacy enhancing technologies (PETs); cloud computing; and data sharing between and among private sector organizations and public sector organizations; children’s privacy and safety, and regulatory strategy and oversight).

• Leading CIPL’s work on the US privacy law and policy development process at the federal and state levels and engaging with relevant lawmakers, staff and legislative committees to advance CIPL’s policy positions.

• Helping position CIPL as a policy thought leader by staying abreast of US and global public policy developments in data, AI, privacy and related areas, by anticipating relevant emerging issues and developing CIPL’s policy positions.

• Deepen relationships and exchanges with current CIPL members and help recruit new CIPL members and project participants.

• Seeking opportunities for and helping manage collaboration with CIPL member companies, think tanks, academics, industry groups and policy influencers to advance CIPL’s policy agenda.

• Developing agendas and content for CIPL and non-CIPL events and speaking/representing CIPL at these events.

• Assisting with special projects and consulting assignments relevant to CIPL’s mission and CIPL members.

• Management responsibilities to oversee, develop and grow CIPL team and skillsets across geographies.

Required Minimum Qualifications

• Advanced degree (J.D., Ph.D., or Master’s) in law, public policy, or a related field.

• Minimum of 8+ years of relevant professional experience (e.g., industry, professional services, law firms, think tanks, trade associations, government, regulatory agencies, or legislative roles).

• Deep knowledge of global data protection, AI, privacy, and related laws, policies, and regulatory frameworks, including emerging technologies.

• Strong understanding of U.S. federal and state legislative and regulatory processes, with a demonstrated track record of engagement with policymakers and stakeholders.

• Proven ability to conduct and lead research on emerging AI, data, and privacy issues, including regulatory developments, policy trends, and organizational best practices.

• Exceptional writing, analytical, and public speaking skills, with experience drafting public consultation responses, white papers, and thought leadership articles. Ability to distill complex concepts into clear, persuasive communications.

• Solid understanding of data-driven innovation, technology trends, and/or foundational computer science concepts.

• Strong business judgment and understanding of the global corporate environment, including practical experience with data protection compliance and privacy management programs.

• Demonstrated leadership and interpersonal skills, with an entrepreneurial mindset, proactive approach, and ability to collaborate effectively with internal and external stakeholders.

Additional Interests, Experience Or Qualifications

• Understanding of technology trends, computer science and/or data analytics.

• Competition law, intellectual property law, and/or regulatory compliance. Knowledge of additional languages is a plus.

Other Qualifications

Availability and willingness to work hours as needed to meet critical deadlines. Strong commitment to client service excellence and teamwork. Must possess the highest standards of ethical conduct and professionalism. Must act as catalyst for change, drive and own results. Creative and innovative. Willingness to work across time zones and across cultures. Frequent travel may be required. Excellent communication skills (oral, written and listening) and ability to collaborate effectively with diverse group of professionals. Sound judgment and flexibility. Ability to work well under pressure, patience, diplomacy, high stress tolerance, excellent interpersonal communication skills, ability to prioritize workload and adapt to changing conditions. Frequent travel may be required. Visual acuity needed to process and read extensive written communications. Ability to receive and convey detailed information through oral communication. Proficiency with Microsoft Office Suite applications. Essential competency processes include language ability, reasoning and memory. To perform this job successfully, the incumbent must possess the abilities or aptitudes to proficiently perform each of the responsibilities and accountabilities described above, with or without reasonable accommodation.

The expected salary range for Washington, DC based employees is $170,000-$230,000, though salaries for employees based outside of Washington, DC may differ. Beyond an employment candidate's physical location, salary offers may be based on a number of factors, including, but not limited to, education, training and/or experience.

In addition to providing competitive compensation in the form of salaries and bonuses, Hunton Andrews Kurth offers a range of benefits and wellness options based on experience, performance and location that compare favorably to market standards in every region and across the legal industry.

EEO/drug-free workplace/E-Verify participant/Veteran/Disability.

Please view the Equal Employment Opportunity Poster here.

The information offered on this site does not constitute an express or implied contract, and may be modified or revoked without notice at the discretion of Hunton Andrews Kurth LLP.

### Qualifications

Experience Level: 8+ Years

The role requires close collaboration with data scientists, data engineers, cybersecurity teams, and business stakeholders to operationalize scalable, secure, and compliant AI capabilities in a regulated healthcare and life sciences environment

Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related discipline

14 more items(s)

### Benefits

Rate: $52/hr on W2

### Responsibilities

We are seeking a highly skilled and hands-on AI Engineer with deep expertise in Generative AI, AWS cloud technologies, Anthropic Claude models, and Databricks-based data engineering and analytics platforms

This role will lead the design, development, and deployment of enterprise-scale AI and machine learning solutions supporting research, clinical, commercial, and operational initiatives across the organization

The ideal candidate will possess strong experience building production-ready AI solutions using AWS Bedrock, Anthropic Claude LLMs, vector databases, Retrieval-Augmented Generation (RAG) architectures, and Databricks Lakehouse technologies

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## Job Description

AI Engineer – AWS Bedrock, Claude & Databricks

Rate: $52/hr on W2

Experience Level: 8+ Years

Location: On site in Raleigh, NC

Position Overview

We are seeking a highly skilled and hands-on AI Engineer with deep expertise in Generative AI, AWS cloud technologies, Anthropic Claude models, and Databricks-based data engineering and analytics platforms. This role will lead the design, development, and deployment of enterprise-scale AI and machine learning solutions supporting research, clinical, commercial, and operational initiatives across the organization.

The ideal candidate will possess strong experience building production-ready AI solutions using AWS Bedrock, Anthropic Claude LLMs, vector databases, Retrieval-Augmented Generation (RAG) architectures, and Databricks Lakehouse technologies. The role requires close collaboration with data scientists, data engineers, cybersecurity teams, and business stakeholders to operationalize scalable, secure, and compliant AI capabilities in a regulated healthcare and life sciences environment.

Key Responsibilities

Design, develop, and deploy enterprise Generative AI solutions leveraging AWS Bedrock and Anthropic Claude models.

Build advanced conversational AI, summarization, document intelligence, and knowledge retrieval solutions using Claude APIs and Bedrock-hosted foundation models.

Develop and optimize Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases, semantic search, and prompt orchestration frameworks.

Engineer scalable AI and ML workflows within Databricks using Delta Lake, Apache Spark, MLflow, and Lakehouse architectures.

Develop prompt engineering strategies, AI guardrails, context management, and response evaluation frameworks for enterprise AI applications.

Integrate structured and unstructured clinical, research, regulatory, and commercial datasets into AI-driven solutions.

Build APIs and microservices to operationalize AI capabilities across enterprise applications and workflows.

Implement MLOps and LLMOps best practices for model deployment, monitoring, governance, observability, and lifecycle management.

Collaborate with cybersecurity and governance teams to ensure secure, compliant, and responsible AI adoption aligned with HIPAA, GxP, and enterprise data governance standards.

Optimize AI workloads for performance, scalability, resiliency, and cost efficiency within AWS cloud environments.

Contribute to enterprise AI architecture standards, reusable AI frameworks, and innovation initiatives.

Required Qualifications

Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related discipline.?8+ years of experience in software engineering, AI engineering, machine learning, or cloud data platforms.

Strong hands-on experience with AWS Bedrock and Anthropic Claude models in enterprise environments.

Experience building GenAI applications using Claude for conversational AI, intelligent document processing, summarization, and enterprise search use cases.

Expertise with prompt engineering, prompt chaining, context window optimization, and RAG implementation patterns.

Experience with Databricks Lakehouse Platform, Delta Lake, Apache Spark, and MLflow.

Strong programming skills in Python and experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.

Experience integrating vector databases and semantic search technologies.

Strong understanding of AWS-native cloud architectures and AI services.

Experience with REST APIs, microservices, CI/CD pipelines, containerization, and infrastructure automation.

Familiarity with AI governance, security controls, and responsible AI practices.

Experience working in regulated industries such as healthcare, life sciences, or pharmaceuticals preferred.

Preferred Skills

Experience with clinical, genomics, pharmaceutical, or regulatory datasets.

Knowledge of AI agent frameworks and autonomous workflow orchestration.

Experience implementing secure enterprise AI solutions with guardrails and model evaluation frameworks.

Familiarity with Snowflake, Redshift, or cloud data modernization initiatives.

AWS Certifications and/or Databricks certifications preferred.

Technical Environment

AWS Bedrock

Anthropic Claude

Databricks Lakehouse Platform

Python / PySpark

MLflow

LangChain / LlamaIndex

Vector Databases

Delta Lake

AWS Lambda, ECS, EKS, S3, SageMaker

GitHub, Terraform, CI/CD Pipelines

REST APIs & Microservices

Success Criteria

Deliver secure and scalable enterprise AI solutions leveraging Claude and AWS Bedrock.

Accelerate adoption of Generative AI capabilities across research, clinical, and business operatio

### Qualifications

The ability to drive innovation through advanced analytics, automation and thought leadership

Required Skill And Experience

Python and hands-on building of enterprise GenAI applications with Lang Chain, Lang Graph, Llama Index, or similar orchestration frameworks; comfortable with RAG, vector databases, agentic workflows (tool calling, memory, multi-agent), and prompt engineering

8 more items(s)

### Benefits

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

Medical/Dental/Vision/Life Insurance

Long-term/Short-term Disability

4 more items(s)

### Responsibilities

Develop data preparation tasks, while identifying patterns or anomalies

Ensure data readiness for advanced modeling

Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions

22 more items(s)

## Job Description

Overview

Infosys Topaz is an AI-first suite of services, solutions, and platforms designed to accelerate business value through generative AI technologies. It amplifies the potential of individuals, enterprises, and communities by fostering unprecedented innovations, pervasive efficiencies, and connected ecosystems. Leveraging Infosys' applied AI framework, Topaz empowers users to deliver cognitive solutions that drive growth, build interconnected ecosystems, and unlock efficiencies at scale. Join us to be part of a pioneering team at the forefront of AI innovation. At Infosys Topaz, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, Infosys Topaz is the perfect place for you to grow and excel.

In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below:

• Develop data preparation tasks, while identifying patterns or anomalies.

• Ensure data readiness for advanced modeling.

• Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.

• Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.

• Design and develop predictive models and data-driven analyses to address business challenges.

• Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.

• Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.

• Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.

• Proactively maintain models and implement improvements for accuracy and reliability.

• Apply governance controls to mitigate risks and ensure compliance.

• Analyze performance trends, recommend improvements, and document discrepancies for escalation.

• Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.

• Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.

• Apply the predefined quality measurement framework at an individual task level in the project.

• Deploy complex analytics tools or multi-system integration, while validating deployment success.

• Participate in developing scripts or templates for repeated deployments tasks.

• Contribute to analytic solutions, IP asset creation, and training initiatives.

• Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.

• Participate in and deliver analytics training, while contributing to content creation.

• Provide input for segment and unit-level business plans.

Your Contribution To The Team

• Deliver scalable, high-quality analytics solutions aligned to business needs.

• A knack for optimization, deployment and performance improvement of models.

• The ability to drive innovation through advanced analytics, automation and thought leadership.

• Enable team growth through knowledge sharing, training and standardization.

• Support business planning with data-driven insights.

Required Skill And Experience

• Python and hands-on building of enterprise GenAI applications with Lang Chain, Lang Graph, Llama Index, or similar orchestration frameworks; comfortable with RAG, vector databases, agentic workflows (tool calling, memory, multi-agent), and prompt engineering.

• Working with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic, or similar LLM platforms; integrating with enterprise APIs, databases, and knowledge repositories.

• Building production APIs and microservices with Fast API, Docker, and Kubernetes; software engineering fundamentals (system design, testing, CI/CD, Git); hands-on with AI coding assistants (GitHub Copilot, Claude Code, Cursor) for engineering productivity.

• LLMOps practices — observability, tracing, evaluation (RAGAS, DeepEval, Lang Smith), guardrails, cost governance, and model safety.

• conducting code reviews, driving technical decisions, and collaborating with product and platform teams.

Preferred Skill And Experience

• Open-source LLMs (Llama, Mistral, Gemma) and fine-tuning techniques (LoRA, QLoRA, PEFT); familiarity with Model Context Protocol (MCP).

• Multimodal AI (vision-language, OCR, speech) and document intelligence.

• Front-end (React, TypeScript), DevOps/IaC tooling (GitHub Actions, Terraform, Helm), and domain exposure across financial services, telecom, retail, or healthcare

Additional Required Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

• This position may require relocation and/or travel to work/project location.

• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

### Benefits

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

• Medical/Dental/Vision/Life Insurance

• Long-term/Short-term Disability

• Health and Dependent Care Reimbursement Accounts

• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)

• 401(k) plan and contributions dependent on salary level

• Paid holidays plus Paid Time Off

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO?Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Pearl Recruitment

Junior AI Consultant in Calgary

Pearl Recruitment · Calgary, AB · via BeBee

3 days ago

Full-time

Apply on BeBee

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Apply on WhatJobs

## Job Description

Embark on your career as a Junior AI Implementation Consultant in Calgary, supporting clients with artificial intelligence solutions. This full-time role emphasizes research, analysis, and project coordination for impactful AI projects.

Joining a respected Calgary consulting firm, you will be part of a new AI Implementation Consulting practice dedicated to helping organizations effectively leverage AI technologies. The role is tailored for early-career professionals eager to build skills in process improvement and solution support while working closely with senior consultants. You will gain hands-on experience with AI use cases and client engagements.

Key Responsibilities:

• Support AI implementation through research and project coordination

• Identify business challenges and gaps for AI solutions

• Gather and analyze client data to inform project deliverables

• Participate in design activities like process mapping

• Conduct research on AI tools and industry trends

Requirements:

• Bachelor's degree in business, technology, or related field

• Interest in AI and technology adoption

• Strong research and analytical skills

• Experience in project documentation and client service

• Exposure to AI platforms is a plus

Develop your expertise in artificial intelligence while contributing to innovative client solutions in a collaborative environment.

### Qualifications

Minimum 1 year of professional experience in a software engineering or security-related role, demonstrating practical application of engineering principles in a workplace environment

Proficiency in scripting with Python or Go, with hands-on experience in developing automation, agents, or bots to solve real-world problems

Fundamental understanding of CI/CD pipelines and practices, including experience contributing to or maintaining automated build, test, and deployment workflows

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### Benefits

The starting salary range posted for this position is $123,600.00 to $174,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training

The full salary range for certain locations is listed below

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### Responsibilities

This role is remote and can be performed from anywhere in the U.S

As an AI Security Engineer, you will help write the framework, design the workflows, and stand up the systems that determine how this company evaluates and governs every AI tool it adopts and builds

This is an engineering-minded role

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## Job Description

The Application Window Is Expected To Close On

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.?2012081 - AI Security Engineer (Remote)

• The application window is expected to close on: June 14, 2026

• Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

• This role is remote and can be performed from anywhere in the U.S.

Meet the Team

We are building an AI security program from the ground up — and this role sits at the foundation of it. As an AI Security Engineer, you will help write the framework, design the workflows, and stand up the systems that determine how this company evaluates and governs every AI tool it adopts and builds.

This is an engineering-minded role. You will not just document policy — you will build the intake automation, design the assessment pipeline, and create the tooling that makes AI governance scalable. If you are the kind of person who wants to understand how things work technically, write the process before anyone tells you how it should go, and see your work become the foundation other teams build on, this is the role.

Your Impact

As an AI Security Engineer, you will play a critical role in shaping and scaling Cisco’s AI governance program from the ground up. You will design and implement workflows, frameworks, and automation that ensure every AI tool Cisco adopts or builds meets rigorous security standards. Your work will directly influence how AI risks are assessed, managed, and mitigated across the company, enabling secure innovation and compliance with evolving regulations.

• Design and refine the AI tool assessment workflow and security requirements framework.

• Develop and automate processes for evaluating, approving, and revalidating AI tools.

• Create clear, actionable assessment reports and technical guidance for diverse stakeholders.

• Monitor AI governance regulations and vendor practices to update program policies.

• Build and maintain automated pipelines, threat assessments, and the AI tool risk register.

• Continuously improve the AI governance process based on operational insights and feedback.

Minimum Qualifications

• Minimum 1 year of professional experience in a software engineering or security-related role, demonstrating practical application of engineering principles in a workplace environment.

• Proficiency in scripting with Python or Go, with hands-on experience in developing automation, agents, or bots to solve real-world problems.

• Fundamental understanding of CI/CD pipelines and practices, including experience contributing to or maintaining automated build, test, and deployment workflows.

• Foundational knowledge of AI systems and engineering concepts, able to explain system workings and apply problem-solving skills to design or improve processes and tools.

• Strong technical communication and analytical skills, capable of producing clear, structured documentation and decomposing complex problems into actionable recommendations with attention to detail.

Preferred Qualifications

• Bachelor's degree in cybersecurity, information systems, computer science, or a related technical field or equivalent experience.

• Coursework or hands-on exposure to AI.

• Any experience building or improving a process.

• Familiarity with security frameworks — NIST, ISO 27001, SOC 2, or similar.

• Additional scripting or automation experience.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:?The starting salary range posted for this position is $123,600.00 to $174,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

• 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

• 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

• Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

• Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

• 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

• Additional paid time away may be requested to deal with critical or emergency issues for family members

• Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary, Which Is Split Between Quota And Non-quota Components, Subject To The Applicable Cisco Plan. For Quota-based Incentive Pay, Cisco Typically Pays As Follows

• .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

• 1.5% of incentive target for each 1% of attainment between 50% and 75%;

• 1% of incentive target for each 1% of attainment between 75% and 100%; and

• Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:?New York City Metro Area?$123,600.00 - $200,100.00

Non-Metro New York State & Washington State?$109,900.00 - $181,600.00

• For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

• Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

## Application Note

To make sure your application is considered, please submit it before the end of the day on 05.06.2026. We encourage candidates to apply as soon as possible.

## Role Overview

Shape the AI foundation of one of Europe’s leading energy companies—defining how agentic systems are designed, governed, and scaled for mission-critical impact. Equinor is building the foundation for enterprise-scale agentic AI, and this role offers a unique opportunity to set direction at company scale. You will define architecture and guide the delivery of agent and LLM-powered products that reshape how insight is generated, workflows are automated, and decisions are supported across engineering, operations, HSE, supply chain, and corporate functions.

## Key Tasks

- Define and evolve the enterprise reference architecture for agentic and generative AI, establishing the standards, decision principles, and guardrails that will shape how these capabilities scale across Equinor.

- Partner with AI and ML engineering teams to deliver production-grade agentic systems: orchestration, grounded retrieval, structured LLM integrations with enterprise APIs, MCP-based tool/data access, and multimodal document understanding.

- Lead solution strategy, technology choices, and architectural blueprints; align senior stakeholders, engineering teams, and strategic partners; and provide technical leadership from early concept through scaled deployment.

- Embed safety, compliance, and privacy by design; align with GDPR and the EU AI Act; enforce policy as code and safe tool execution; and manage uncertainty in non-deterministic systems by surfacing confidence, bounding autonomy, routing to human oversight, and providing safe fallback and rollback paths.

- Raise engineering quality and long-term capability by driving performance, reliability, and cost efficiency while mentoring others and building reusable foundations for future AI solutions.

## What We Expect

At Equinor, there are some overall qualities we regard as essential. We want you to identify with the values that guide our decisions and help us succeed and grow: open, collaborative, courageous and caring. We expect you to make safety your priority and to contribute to our zero-harm culture.

## Required Qualifications

Master’s or PhD in Computer Science, Data Science, Machine Learning, Linguistics, or related field. Deep architectural experience across data, model, and application layers, with strong judgment on trade-offs, scalability, risk, and compliance in enterprise AI systems. Proven leadership in navigating ambiguity, shaping technical direction, aligning senior stakeholders, and translating AI strategy into business-aligned execution. Hands-on experience with modern LLMs and agent frameworks (e.g., LangGraph, AutoGen, LangChain/LlamaIndex, Semantic Kernel). NLP and generative AI expertise, including prompt design, RAG architectures, model evaluation, and practical experience with major LLM providers and open-source models. Solid Python and software engineering fundamentals (testing, CI/CD, version control). A strong track record of delivering end-to-end AI solutions from concept to measurable business value.

## Preferred Qualifications

Recognized thought leadership through mentoring, publishing, speaking, patents, or stewardship of influential open-source initiatives. Multimodal AI: document and image understanding, diagram Q&A, speech-to-text (e.g. Whisper). Responsible AI: PII handling, red-teaming, content moderation, risk assessment, regulatory compliance. Containers and cloud: Docker, Kubernetes; Azure (Azure ML, AKS, Azure OpenAI, storage, networking). Enterprise integration: APIs, events/messaging, standardised data and tool access via MCP.

## Why Join Us?

If you are motivated by the chance to shape enterprise AI at scale, solve technically demanding problems with real-world consequence, and leave a lasting mark on how a major energy company applies AI responsibly, we would love to hear from you.

## What We Offer

We want you to have a rewarding and fulfilling work life. That’s why we offer:

### Not Just a Job - a Career

In Equinor, your development begins on day one. You will build your competence through a wide range of learning activities while being empowered to build your career across multiple disciplines and geographies. Our internal job market allows a wide range of opportunities for development and growth within your own field, or even in other areas you find interesting and relevant.

### Attractive Rewards

We give you a comprehensive benefits package with a competitive salary, global parental leave, bonus scheme and pension plan.

### Wellness and Work-Life Balance

We care about and prioritise our employees’ well-being. We know that for you to be the best version of yourself in the workplace, being able to collect your children, attend a class or simply enjoy social time can be invaluable. That’s why we encourage you to make use of our flexible work arrangements wherever possible.

### Inclusive Culture

We believe embracing our differences makes us stronger. For us, true inclusion means being able to bring your whole self to work, and for you and everyone else to feel accepted and valued.

### Equal Opportunities

Equinor is an equal-opportunity employer. We make all employment decisions, which include hiring, promotion, transfer, demotion, termination, and training, without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, parental status, veteran status, or any other protected status. As part of this commitment, reasonable adjustments will be made during the recruitment process for candidates with disabilities or long-term health conditions. If you have any specific requirements, please clarify this in your application and our team will be in contact to see how we can support your needs.

## Important Notes About the Application Process

We expect you to openly offer all relevant information about yourself during the recruitment process. Background checks are performed on all final candidates, and all permanent and temporary hires will be screened using relevant sanctions lists to ensure compliance with sanctions laws. When applying for a job in Norway you will be asked for information on affiliation to high-risk countries for a security assessment.

## About Equinor

Equinor is an international energy company headquartered in Norway, energising the lives of 170 million people worldwide. Our ambition is to be a leading company in the energy transition and achieve net zero by 2050. Our task is enormous: supplying the world with the energy it needs, while lowering emissions to the atmosphere. To achieve it, we are looking for like-minded people to join our team of 25,000 colleagues working in more than 20 countries. We’re up for the challenge. Are you? Equinor is an international energy company headquartered in Norway, energising the lives of 170 million people worldwide. Our ambition is to be a leading company in the energy transition and achieve net zero by 2050. Our task is enormous: supplying the world with the energy it needs, while lowering emissions to the atmosphere. To achieve it, we are looking for like-minded people to join our team of 25,000 colleagues working in more than 20 countries. We’re up for the challenge. Are you?

## Job Description

Specialty/Competency: IFS - Risk & Quality (R&Q)

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 20%

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively.

Those in enterprise risk management at PwC will focus on identifying and mitigating potential risks that could impact an organisation's operations and objectives. You will be responsible for developing business strategies to effectively manage and navigate risks in a rapidly changing business environment.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

## Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

- Craft and convey clear, impactful and engaging messages that tell a holistic story.

- Apply systems thinking to identify underlying problems and/or opportunities.

- Validate outcomes with clients, share alternative perspectives, and act on client feedback.

- Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.

- Deepen and evolve your expertise with a focus on staying relevant.

- Initiate open and honest coaching conversations at all levels.

- Make difficult decisions and take action to resolve issues hindering team effectiveness.

- Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

## The Opportunity

As part of the Cyber, Privacy, Data & AI Risk team you will provide specialist assistance across cybersecurity, privacy, data, and AI risk. As a Senior Manager you will support the firm’s AI Governance Program development and manage risk while enabling major firm-wide AI transformation initiatives. This position allows for significant engagement with senior stakeholders and the opportunity to drive process enhancements in a rapidly evolving environment.

## Responsibilities

- Provide specialized support in cybersecurity, privacy, data, and AI risk

- Analyze and assess evolving risks in a dynamic environment

- Work with cross-functional teams to enhance risk management

- Develop strategies to mitigate potential cybersecurity threats

- Communicate effectively to promote alignment on risk initiatives

## What You Must Have

- High School Diploma

- At least 6 years of cybersecurity, privacy, data governance, or AI risk management

## What Sets You Apart

- Bachelor's Degree preferred

- Demonstrating in-depth abilities as a team leader

- Providing strategic risk management for AI initiatives

- Assisting in governance efforts for AI programs

- Delivering specialist risk management advice across domains

- Staying current on industry trends and emerging risks

- Managing multiple priorities in a fast-paced environment

- Taking a cooperative approach with relationship-building capabilities

- Having a self-starter mentality with a drive for enhancement

## Compensation and Benefits

The salary range for this position is: $91,000 - $321,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

## Equal Opportunity and Work Authorization

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

AI Architect

Qualifications

Responsibilities

Job Description

Zero to AI Engineer