At a Glance
- Tasks: Lead the design and delivery of cutting-edge AI systems for a leading energy company.
- Company: Join Equinor, a top player in the energy sector, shaping the future of AI.
- Benefits: Enjoy competitive salary, flexible work, career development, and a supportive culture.
- Other info: Embrace an inclusive culture with equal opportunities for all.
- Why this job: Make a real impact by defining AI architecture that transforms business operations.
- Qualifications: Master’s or PhD in relevant fields with strong leadership and technical skills.
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.
- Recognized thought leadership through mentoring, publishing, speaking, patents, or stewardship of influential open‑source initiatives.
- Multimodal AI: document and image understanding, diagram Q 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 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 employee growth through continuous learning and career development opportunities, Equinor fosters an inclusive culture that values collaboration and diversity. The role of Sr. Manager / Lead Architect for Agentic and Generative AI not only provides competitive benefits such as flexible work arrangements and a robust pension plan but also allows you to shape the future of AI in a mission-critical sector, making a meaningful impact on the energy landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Manager / Lead Architect Agentic and Generative AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Equinor or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience with agentic AI and LLMs. This will not only demonstrate your skills but also show how you can add value to their team.
✨Tip Number 3
Be ready for technical discussions! Brush up on your knowledge of enterprise AI systems and be prepared to discuss architectural decisions and trade-offs. This will help you stand out as a candidate who knows their stuff.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Equinor team. Don’t miss out!
We think you need these skills to ace Sr. Manager / Lead Architect Agentic and Generative AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. Highlight your architectural experience and any hands-on work with LLMs and agent frameworks. We want to see how you can shape the AI foundation!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about agentic and generative AI, and how your background makes you the perfect fit for this role. Let us know how you embody our core values!
Showcase Your Leadership Skills:In your application, don’t forget to mention your leadership experiences. We’re looking for someone who can navigate ambiguity and align stakeholders, so share examples of how you've done this in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Equinor
✨Know Your AI Foundations
Make sure you brush up on the fundamentals of agentic and generative AI. Understand how these systems are designed, governed, and scaled. Be ready to discuss your architectural experience and how it aligns with the enterprise reference architecture they’re looking to evolve.
✨Showcase Your Leadership Skills
This role requires strong leadership in navigating ambiguity and aligning stakeholders. Prepare examples from your past experiences where you successfully shaped technical direction or led teams through complex projects. Highlight your ability to translate AI strategy into actionable business outcomes.
✨Demonstrate Technical Expertise
Familiarise yourself with modern LLMs and agent frameworks like LangChain and AutoGen. Be prepared to discuss your hands-on experience with these technologies, including prompt design and model evaluation. They’ll want to see that you can deliver end-to-end AI solutions effectively.
✨Emphasise Safety and Compliance
Given the focus on safety, compliance, and privacy, be ready to talk about how you've embedded these principles in your previous work. Discuss your understanding of GDPR and the EU AI Act, and how you’ve managed uncertainty in non-deterministic systems while ensuring safe tool execution.