Lead Architect for Enterprise Agentic AI

Lead Architect for Enterprise Agentic AI

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

At a Glance

  • Tasks: Architect and scale innovative agentic AI solutions at Equinor.
  • Company: Join Equinor, a leader in responsible AI and technology.
  • Benefits: Competitive salary, flexible work arrangements, and comprehensive benefits package.
  • Other info: Inclusive culture with opportunities for growth and development.
  • Why this job: Shape the future of AI while making a real impact across multiple business areas.
  • Qualifications: Master’s or PhD in relevant fields with strong architectural experience.

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

What does the job involve? Shape how Equinor designs and scales agentic AI solutions—working at the intersection of architecture, engineering, and responsible AI. Equinor is building the foundation for enterprise‑scale agentic AI, and this role offers a rare opportunity to play a key role in that journey. You will architect solutions, make key design decisions, guide delivery with AI and ML engineering teams, and ship production systems that automate workflows and sharpen decisions across multiple business areas.

What will my tasks be?

  • Shape and apply reference architecture for agentic systems, translating standards, design principles, and guardrails into practical solution patterns across Equinor.
  • Architect and deliver production agents: orchestration, grounded retrieval, structured LLM integrations with enterprise APIs, MCP‑based tool/data access, and multimodal document understanding.
  • Drive solution strategy, technology choices, and architectural blueprints for key use cases; align stakeholders, engineering teams, and partners; and provide technical leadership from 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 the bar on engineering quality and long‑term capability by improving performance, reliability, and cost efficiency, while mentoring peers and building reusable foundations for future AI solutions.

Here's what we expect from you:

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.
  • Strong architectural experience across data, model, and application layers, with sound judgment on trade‑offs, scalability, risk, and compliance in enterprise AI systems.
  • Proven ability to navigate ambiguity, set technical direction within a broader architecture, align stakeholders, and convert strategy into delivery.
  • Hands‑on 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).
  • Track record of delivering AI solutions from concept to production, with measurable business impact.

Preferred qualifications:

  • Technical leadership: mentoring, communities, publishing, speaking, or open‑source contributions.
  • Multimodal AI: document and image understanding, diagram Q&A, speech‑to‑text.
  • Responsible AI: PII handling, red‑team‑ing, content moderation, risk assessment, regulatory compliance.
  • Containers and cloud: Docker, Kubernetes; Azure (Azure ML, AKS, Azure OpenAI, storage, networking).
  • 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. 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.
  • 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.
  • An 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 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.

Lead Architect for Enterprise Agentic AI employer: Equinor

Equinor is an exceptional employer that prioritises your professional growth and well-being, offering a dynamic work environment where innovation meets responsibility. With a strong commitment to employee development, flexible work arrangements, and a culture of inclusivity, you will have the opportunity to shape the future of agentic AI while enjoying a rewarding career in a supportive atmosphere. Join us in our mission to create impactful AI solutions that align with our values of openness, collaboration, and safety.

Equinor

Contact Details:

Equinor Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Architect for Enterprise Agentic AI

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Equinor employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI and architecture. This gives potential employers a tangible look at what you can do and how you think.

Tip Number 3

Prepare for those interviews! Research Equinor’s values and recent projects in agentic AI. Tailor your responses to reflect how your experience aligns with their mission and 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 genuinely interested in being part of the Equinor team.

We think you need these skills to ace Lead Architect for Enterprise Agentic AI

Architectural Experience
AI and ML Engineering
Reference Architecture for Agentic Systems
NLP Expertise
Generative AI Knowledge
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 AI solutions. We want to see how your skills align with the role, so don’t hold back on showcasing your architectural expertise and hands-on experience with modern LLMs.

Showcase Your Technical Leadership:If you've got a track record of mentoring or leading teams, let us know! We value technical leadership, so share any relevant experiences that demonstrate your ability to guide others and drive projects from concept to production.

Be Clear and Concise:When writing your application, clarity is key. Use straightforward language to explain your achievements and how they relate to the job. We appreciate a well-structured application that makes it easy for us to see your potential.

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 ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Equinor

Know Your Architecture Inside Out

Make sure you’re well-versed in architectural principles, especially those related to AI systems. Brush up on your knowledge of LLMs, agent frameworks, and how they integrate with enterprise APIs. Being able to discuss these topics confidently will show that you’re ready to shape and apply reference architecture effectively.

Demonstrate Your Problem-Solving Skills

Prepare to discuss specific examples where you've navigated ambiguity or made key design decisions in past projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your choices led to successful outcomes in AI solutions.

Align with Equinor's Values

Familiarise yourself with Equinor’s core values: open, collaborative, courageous, and caring. Think of ways you can demonstrate these qualities during the interview, whether through your past experiences or your approach to teamwork and safety in AI development.

Prepare for Technical Questions

Expect in-depth technical questions about Python, CI/CD, and cloud technologies like Azure. Review your fundamentals and be ready to discuss your hands-on experience with modern LLMs and responsible AI practices. This will help you showcase your expertise and readiness for the role.