Responsibilities
• Architect, scale, and own the end-to-end AI enablement strategy, building foundational platforms and tooling for safe, rapid AI deployment across product and engineering teams.
• Design and maintain core AI orchestration layers, centralized API gateways, and reusable frameworks such as advanced RAG and agentic architectures for company-wide consumption.
• Establish LLMOps governance, including guardrails, evaluation frameworks, and monitoring for model performance, bias, data privacy, and security across all AI implementations.
