Manager / AI Architect - Agentic systems

Equinor UK Limited
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

API
Artificial Intelligence
Application Layers
Azure
Continuous Integration
Data Security
Python
Machine Learning
Open Source Technology
Azure
Speech Recognition
Privacy Controls
Large Language Models
Multi-Agent Systems
Prompt Engineering
Model Validation
Kubernetes
Information Technology
Free and Open-Source Software
Software Version Control
Docker

Job description

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?

Within this position, your key tasks will be to:

  • 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. And for this specific position, we are also looking for, 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.

Requirements

  • 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., * 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-teaming, 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., If you are motivated by architecting practical AI solutions, working on technically demanding challenges, and helping scale responsible agentic AI in a major energy company, we would love to hear from you

Benefits & conditions

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. Our internal job market allows a wide range of opportunities for development and growth within your own field, or even in other areas you find interesting and relevant.

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

About the company

Equinor is an international energy company headquartered in Norway, energising the lives of 170 million people worldwide. Our ambition is to be a leading company in the energy transition and achieve net zero by 2050. Our task is enormous: supplying the world with the energy it needs, while lowering emissions to the atmosphere. To achieve it, we are looking for like-minded people to join our team of 25,000 colleagues working in more than 20 countries. We're up for the challenge. Are you?

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