Teams at Equinor

Analyzes financial and operational performance, including costs, revenue, inventory, cash flow, profitability, budgets, and forecasts. Provides reporting, planning, portfolio analysis, management meeting materials, and performance insights. Coordinates internal and external reporting, supports improvement and standardization initiatives, applies data analysis tools, and contributes to S/4HANA implementation. The role advises stakeholders, supports performance-management processes, and addresses complex business challenges within UK upstream assets.

Design, develop, test, and deploy agentic AI solutions using language models, retrieval systems, prompting strategies, and evaluation methods. Collaborate with engineers, architects, and business experts to deliver production AI applications. Measure and improve solution quality, performance, and user adoption while identifying new opportunities for AI-driven business value.

Lead the design, development, evaluation, and production deployment of agentic AI solutions using language models, retrieval systems, reasoning, orchestration, and multimodal AI. Partner with engineering and product teams, establish scalable and responsible AI practices, assess emerging frameworks and architectures, mentor colleagues, and represent Equinor in external AI communities.