- Define multi-team strategy, address architectural bottlenecks, and evaluate build vs. buy decisions across the platform.
- Architect scalable AI systems with security, compliance, and developer experience at the core.
- Lead cross-team architecture reviews, drive collaborative alignment, establish engineering best practices.
- Mentor and sponsor engineers at L3–L4 levels, facilitate knowledge sharing, and drive tech debt and best practice initiatives.
- Author clear, auditable architectural documentation; translate technical concepts for business partners; and partner with Product on business requirements and roadmaps.
- Own the reference architecture for the AI platform, encompassing API abstractions, prompt and version management, RAG infrastructure, vector retrieval, evaluation harnesses, and model serving.
- Contribute to backend development in Python and RESTful API design, including integrations with leading AI providers.
- Build and maintain tooling, SDKs, and platform APIs to enable safe, scalable AI adoption by product teams.
- Implement integrations with LLMs: context management, prompt templating, response validation, and robust fallback strategies.
- Advise and collaborate with Security through architecture and design phases, ensuring compliance and security standards are met.
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