AI (Enablement) Lead Engineer
Core
Building and adopting AI practices, specifically end-user-AI productivity solutions and enterprise agentic workflows, to accelerate delivery pace and quality for business units.
Role type
Senior IC AI Enablement Lead Engineer (Agentic AI & MLOps) (via careerplan.io/jobs/744000152872879-ai-enablement-lead-engineer-at-met-group)
Builds
Reusable AI agents, tightened engineering pipelines, and governed autonomous agentic workflows on enterprise data platforms.
Domain
Energy industry + Generative AI / Agentic AI / MLOps
Deliverable
production ML models
Required skills
Agentic AI development, Prompt engineering, Tool use, LLM evaluation, MLOps, CICD pipeline observability, Feature store management, Model drift detection, AI strategy formulation, Change management
Preferred skills
Databricks, Azure Cloud, Azure Foundry, Agent orchestration frameworks, LLMOps, LLM-Gateways (openRouter), B2C/B2B energy industry experience
Technologies
Claude, Copilot, Azure, Databricks, openRouter
Responsibilities
Co-evolve AI strategy with CIO and stakeholders, diagnose manual work bottlenecks and design agentic/ML solutions, implement agentic loops in CICD pipelines, standardize MLOps practices (feature stores, evals), coach teams on AI adoption and autonomy.
Seniority
Senior, hands-on IC
