You will lead the cloud/edge cloud infrastructure projects you are responsible for delivering. Your focus is to turn business and technical requirements into deliverable plans, hold suppliers accountable, coordinate data centre readiness, and ensure that new capacity is accepted and handed over to operations with clear ownership.
Define and implement the "Definition of Done" for AI using quantitative evaluation. Use evaluation tools (e.g. DeepEval) to score models on Faithfulness and Relevancy. Use these metrics to validate model upgrades and cost-optimisation experiments
Conduct research and stay up to date with the latest advancements in AI and machine learning, integrating new technologies and methodologies into the team’s workflows.
AI solution and vendor evaluation: Evaluate proposed capabilities, limitations and integration needs with IT and vendors. Challenge solution logic, data assumptions, accuracy claims, scalability and total cost of ownership through evidence-based assessments and proofs of concept.
Univers combines global operating scale, deep industrial intelligence, and recognition from the institutions shaping energy, technology, and sustainability. The platforms built for the last decade were designed to monitor.
Develop the foundational platform for AI Agents - including agent registry, evaluation framework, prompt management, vector stores, memory layers, and tool integrations