Senior AI Architect: Agentic & Generative Systems Leader

Senior AI Architect: Agentic & Generative Systems Leader

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
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 and leadership 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.
  • 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?

    • 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 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 safety and inclusivity, employees are empowered to shape the future of AI in energy while enjoying a healthy work-life balance. The collaborative culture fosters growth and encourages individuals to contribute meaningfully to mission-critical projects that have a real impact on society.

Equinor

Contact Details:

Equinor Recruitment Team

StudySmarter Expert Advice🤫

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

Tip Number 1

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

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to AI architecture. Use mock interviews with friends or mentors to build confidence and get feedback on your responses.

Tip Number 3

Showcase your expertise! Create a portfolio of your projects, especially those involving agentic systems or LLMs. This will give potential employers a tangible sense of your skills and experience.

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 are proactive about their job search.

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

Architectural Design
Agentic Systems
Generative AI
Machine Learning
Natural Language Processing (NLP)
Prompt Design
RAG Architectures

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:Don’t forget to emphasise your leadership experience! We’re looking for someone who can navigate ambiguity and align stakeholders, so share examples of how you've successfully led projects or teams in the past.

Highlight Technical Expertise:Be sure to detail your hands-on experience with modern LLMs and agent frameworks. We want to know about your technical skills, especially in Python and software engineering fundamentals, so make them stand out!

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 don’t miss any important updates during the process!

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 prepared to discuss how you would define and evolve these architectures, and share examples of your past experiences in shaping technical direction and aligning stakeholders.

Showcase Your Hands-On Experience

Highlight your practical experience with modern LLMs and agent frameworks like LangGraph or LangChain. Bring specific examples of projects where you’ve successfully delivered end-to-end AI solutions, focusing on the impact they had on business value.

Emphasise Safety and Compliance

Since safety and compliance are top priorities, be ready to discuss how you embed these principles in your work. Talk about your understanding of GDPR and the EU AI Act, and provide examples of how you've managed risk and ensured privacy in previous roles.

Prepare for Technical Leadership Questions

Expect questions about your leadership style and how you navigate ambiguity. Prepare to discuss how you mentor others, drive performance, and build reusable foundations for future AI solutions. Share stories that demonstrate your ability to lead teams through complex challenges.