Equinor
Energy
Sr.Manager/LeadArchitectAgenticandGenerativeAI
“Sr. Manager / Lead Architect Agentic and Generative AI at Equinor. Skills: Agentic AI architecture, Generative AI, LLM frameworks, Enterprise AI systems. Define enterprise reference architecture for AI. Establish standards and guardrails for AI”
What You'll Achieve.
Deliver production-grade agentic systems; Achieve measurable business value; Achieve net zero by 2050
Industry & Context.
Solve technically demanding problems
Background checks, Screening using relevant sanctions lists, Security assessment for high-risk countries
What They're Looking For.
Must Have
Master’s or PhD in Computer Science, Data Science, Machine Learning, Linguistics, or related field, Deep architectural experience across data, model, and application layers, Proven leadership in navigating ambiguity, shaping technical direction, aligning senior stakeholders, Hands-on experience with modern LLMs and agent frameworks, NLP and generative AI expertise, Solid Python and software engineering fundamentals, A track record of delivering end-to-end AI solutions
Nice to Have
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, Responsible AI: PII handling, red-teaming, content moderation, risk assessment, regulatory compliance, Containers and cloud: Docker, Azure (Azure ML, AKS, Azure OpenAI, storage, networking), Enterprise integration: APIs, events/messaging, standardised data and tool access via MCP
What You'll Do.
Define enterprise reference architecture for AI
Establish standards and guardrails for AI
Partner with AI/ML teams to deliver agentic systems
Lead solution strategy and technology choices
Provide technical leadership from concept to deployment
Enforce policy as code
Manage uncertainty in non-deterministic systems
Raise engineering quality and capability
How You'll Work.
Team & Collaboration
Partner with AI and ML engineering teams; Align senior stakeholders and engineering teams; Work with product
Communication Scope
Align senior stakeholders
Process & Methodology
Shaping technical direction, Translating AI strategy into execution
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