Lead AI Engineer (GenAI / Agentic AI) Supply, Trading & Shipping (ST&S) – Global Energy Organisation Contract Details Start: ASAP Initial Duration: 3 months (Extension likely) Location: UK Remote with occasional London onsite requirements Working Pattern: Must be comfortable overlapping with US time zones Overview We are supporting a major global energy organisation in scaling advanced AI capability across its Supply, Trading & Shipping (ST&S) business supporting teams across Europe and the US. We are looking for a Lead AI Engineers with strong, hands-on experience designing, building, and deploying production-grade GenAI and agentic AI solutions within enterprise environments. This is a delivery-focused engineering role, not a traditional data science or research-led position. The client is specifically seeking individuals who have successfully implemented real-world AI systems that support business operations and commercial decision-making. The successful candidates will work closely with trading and commercial stakeholders to develop practical AI-driven solutions within a fast-paced, iterative environment. Key Responsibilities • Design, build, and deploy production-grade GenAI / LLM / agentic AI solutions • Develop scalable AI workflows and integrations aligned to business use cases • Work directly with trading and commercial users to translate requirements into practical AI solutions • Build and maintain AI orchestration, evaluation, and monitoring capabilities • Integrate AI services with enterprise systems, APIs, and data pipelines • Support rapid prototyping and iterative delivery of AI functionality • Contribute to architecture, tooling, and engineering best practices across AI delivery Required Experience • Strong hands-on AI engineering experience focused on GenAI, LLMs, and agentic AI systems • Proven experience deploying AI solutions into live production environments • Deep practical understanding of modern AI tooling and frameworks • Experience with agent frameworks, orchestration, evaluation methodologies, and AI workflow design • Strong Python engineering capability • Experience building APIs, integrations, and scalable data pipelines • Comfortable working in cloud-native and containerised environments • Strong stakeholder engagement and communication skills • Comfortable operating in fast-paced, evolving delivery environments Highly Desirable • Experience within commodities, trading, front-office, or market-facing environments • Energy or oil & gas industry exposure • Experience supporting globally distributed teams across UK and US time zones Important Context The client has already screened a number of candidates with strong theoretical or traditional ML/data science backgrounds who lacked depth in production-grade GenAI delivery. This role requires candidates with genuine hands-on experience implementing enterprise AI systems in real-world environments. Candidates with primarily academic, experimental, or early-stage AI exposure are unlikely to be suitable. Candidate Profile The ideal candidate will be able to demonstrate: • Production deployment of GenAI / LLM / agentic AI systems • Strong engineering and integration capability • Practical experience with AI orchestration and evaluation • Ability to engage directly with business stakeholders • Delivery-focused mindset with strong commercial awareness
Locations
City of LondonLondon
