Senior AI Architect: Agentic & Generative Systems Leader in London

Senior AI Architect: Agentic & Generative Systems Leader in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Equinor

At a Glance

  • Tasks: Lead the design and governance of cutting-edge AI systems for a leading energy company.
  • Company: Join Equinor, a top European energy firm focused on innovative AI solutions.
  • Benefits: Enjoy competitive salary, flexible work, career development, and a supportive culture.
  • Other info: Inclusive workplace with equal opportunities and support for diverse needs.
  • Why this job: Shape the future of AI in energy and make a real impact on critical operations.
  • Qualifications: Master’s or PhD in relevant fields with strong AI architecture experience.

The predicted salary is between 80000 - 100000 £ per year.

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.

What will my tasks be?

  • 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.

Here's what we expect from you:

We want you to identify with our core values: open, collaborative, courageous and caring. We expect you to make safety your priority and contribute to our zero‑harm culture. Additionally we are looking for:

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.

What can we offer you?

We want you to have a rewarding and fulfilling work life, including:

  • Career development from day one with learning activities and internal job market.
  • Competitive salary, global parental leave, bonus scheme, and pension plan.
  • Flexible work arrangements and focus on work‑life balance.
  • Inclusive culture that embraces differences.

Equal opportunities for everyone

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.

Senior AI Architect: Agentic & Generative Systems Leader in London employer: Equinor

Equinor is an exceptional employer, offering a dynamic work environment where innovation meets purpose in one of Europe’s leading energy companies. With a strong commitment to career development, competitive benefits, and a culture that values collaboration and inclusivity, employees are empowered to shape the future of AI in energy. The role of Senior AI Architect not only provides the opportunity to lead transformative projects but also fosters personal growth through mentorship and a focus on work-life balance.

Equinor

Contact Details:

Equinor Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Architect: Agentic & Generative Systems Leader in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Equinor. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got a portfolio or projects that highlight your experience with agentic systems or LLMs, make sure to share them during interviews. It’s all about demonstrating your expertise!

Tip Number 3

Prepare for those tricky questions! Brush up on your knowledge of GDPR, compliance, and safety in AI. Being able to discuss these topics confidently will show you're the right fit for their zero-harm culture.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Equinor.

We think you need these skills to ace Senior AI Architect: Agentic & Generative Systems Leader in London

Architectural Design
Agentic Systems
Generative AI
NLP Expertise
LLM Frameworks
Python Programming
Software Engineering Fundamentals

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with agentic and generative AI. We want to see how your skills align with the specific requirements of the Senior AI Architect role.

Showcase Your Leadership Skills:Since this role involves guiding teams and aligning stakeholders, don’t forget to include examples of your leadership experience. We love seeing how you've navigated ambiguity and shaped technical direction in past projects.

Highlight Technical Expertise:Be sure to mention your hands-on experience with modern LLMs and agent frameworks. We’re looking for candidates who can demonstrate their knowledge in NLP and generative AI, so share any relevant projects or achievements.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity at Equinor!

How to prepare for a job interview at Equinor

Know Your AI Architecture Inside Out

Make sure you’re well-versed in the enterprise reference architecture for agentic and generative AI. Be ready to discuss how you would establish standards and decision principles that align with the company's goals, as this will show your understanding of the role's core responsibilities.

Showcase Your Leadership Skills

Prepare examples of how you've navigated ambiguity and shaped technical direction in previous roles. Highlight your experience in aligning senior stakeholders and translating AI strategy into actionable plans, as this is crucial for the position.

Demonstrate Hands-On Experience

Be ready to talk about your practical experience with modern LLMs and agent frameworks. Discuss specific projects where you’ve implemented these technologies, focusing on the outcomes and business value generated.

Emphasise Safety and Compliance

Since safety and compliance are top priorities, prepare to discuss how you've embedded these principles in your past work. Familiarise yourself with GDPR and the EU AI Act, and be ready to explain how you would enforce policy as code in your solutions.