At a Glance
- Tasks: Architect and scale innovative AI solutions that transform business processes.
- Company: 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 across multiple disciplines.
- Why this job: Join a pioneering team shaping the future of agentic AI with real-world impact.
- Qualifications: Master’s or PhD in relevant fields and strong architectural experience in AI systems.
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.
Manager / AI Architect – Agentic systems employer: Equinor
Equinor is an exceptional employer that prioritises employee development and well-being, offering a dynamic work environment where innovation thrives. With a strong commitment to inclusivity and flexible work arrangements, employees are empowered to grow their careers across various disciplines while enjoying a comprehensive benefits package. The company's focus on responsible AI and collaborative culture ensures that every team member can contribute meaningfully to impactful projects in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Manager / AI Architect – Agentic systems
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at Equinor. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by diving deep into agentic AI solutions. Know the latest trends and be ready to discuss how your skills align with Equinor's mission. Show them you're not just a fit, but the perfect fit!
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. The more comfortable you are talking about your experience and ideas, the better you'll shine during the real deal.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the Equinor team.
We think you need these skills to ace Manager / AI Architect – Agentic systems
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 experience and any relevant projects you've worked on.
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with modern LLMs and agent frameworks. We’re looking for someone who can navigate ambiguity and set technical direction, so be sure to include specific examples of your work in this area.
Emphasise Collaboration and Leadership:Since this role involves guiding delivery with engineering teams, it’s important to highlight your collaborative spirit and any leadership experiences. Share instances where you’ve mentored peers or led projects to success, as we value open and caring team players.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Equinor
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI and ML technologies, especially those mentioned in the job description like LLMs and agent frameworks. Brush up on your Python skills and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Architectural Experience
Prepare to talk about your architectural experience across data, model, and application layers. Be ready to discuss specific projects where you made key design decisions and how you navigated trade-offs, scalability, and compliance in enterprise AI systems.
✨Align with Their Values
Equinor values open, collaborative, courageous, and caring individuals. Think of examples from your past experiences that demonstrate these qualities. Show them how you prioritise safety and contribute to a zero-harm culture.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to navigate ambiguity and set technical direction. Prepare to discuss how you would approach specific challenges in architecting agentic AI solutions, including stakeholder alignment and converting strategy into delivery.