Sr. Manager / Lead Architect Agentic and Generative AI in London

Sr. Manager / Lead Architect Agentic and Generative AI in London

London Full-Time 80000 - 100000 € / year (est.) Home office (partial)
Equinor

At a Glance

  • Tasks: Lead the design and delivery 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 and leadership experience.

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

What does the job involve? 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.

Sr. Manager / Lead Architect Agentic and Generative AI 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 focus on career development, competitive benefits, and a commitment to inclusivity, employees are empowered to shape the future of agentic AI while enjoying flexible work arrangements that promote a healthy work-life balance. Join us in a culture that values collaboration, courage, and care, as we strive for zero harm and meaningful impact in the energy sector.

Equinor

Contact Detail:

Equinor Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Sr. Manager / Lead Architect Agentic and Generative AI in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to agentic and generative AI. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.

Tip Number 3

Showcase your expertise! Create a portfolio or a GitHub repository that highlights your projects and contributions in AI. This is a great way to demonstrate your skills and passion to potential employers.

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, we love seeing candidates who take the initiative to engage directly with us.

We think you need these skills to ace Sr. Manager / Lead Architect Agentic and Generative AI in London

Architectural Design
Agentic AI Systems
Generative AI Expertise
NLP
Prompt Design
RAG Architectures
Model Evaluation

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 role, so don’t hold back on showcasing your relevant projects!

Showcase Your Leadership Skills:Since this role involves guiding teams and aligning stakeholders, it’s crucial to demonstrate your leadership experience. Share examples of how you've navigated ambiguity and shaped technical direction in previous roles—this will really help us see your potential impact.

Highlight Technical Expertise:We’re looking for hands-on experience with modern LLMs and agent frameworks. Be sure to mention any specific tools or technologies you’ve worked with, like LangChain or Azure, as well as your Python skills. This will show us you’re ready to hit the ground running!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone involved.

How to prepare for a job interview at Equinor

Know Your AI Foundations

Make sure you have a solid grasp of agentic and generative AI concepts. Brush up on the latest trends, frameworks, and tools like LangChain and AutoGen. Being able to discuss these intelligently will show that you're not just familiar with the field but are also passionate about it.

Showcase Your Leadership Skills

Prepare examples of how you've led teams or projects in ambiguous situations. Highlight your ability to align stakeholders and translate complex AI strategies into actionable plans. This role requires strong leadership, so demonstrating your experience here is key.

Understand Compliance and Safety

Familiarise yourself with GDPR, the EU AI Act, and responsible AI practices. Be ready to discuss how you've embedded safety and compliance in previous projects. This will show that you take these aspects seriously and can navigate the regulatory landscape effectively.

Prepare for Technical Questions

Expect to dive deep into technical discussions about architecture, model evaluation, and integration. Brush up on your Python skills and be ready to talk about your hands-on experience with LLMs. Practising coding problems or system design questions can also give you an edge.