measurable outcomes Lead engineering execution across multiple teams, ensuring clear ownership boundaries, interfaces, and ways of working Drive pragmatic technical direction across AI systems: LLM/ML deployment patterns, model lifecycle, monitoring, and iteration Ensure production readiness: security, reliability, observability, governance, and cost awareness (FinOps mindset) Unblock teams through active … regulated or high-stakes environments (e.g., financial services) Familiarity with AI governance, ethics, and emerging regulation (e.g., EU AI Act) Exposure to LLM platforms (e.g., Bedrock/Foundry) and multi-tenant cost controls Consulting/client-facing delivery leadership and workshop facilitation We believe talent knows no boundaries. Our hiring ...