Job Summary: As an AI Architect you will build AI-native products. You’ll lead cross-functional Innovation Delivery Squads—owning outcomes end-to-end across web, mobile, AI agents, and streaming backends. You’re a hands-on technical leader who can scope, architect, staff, and ship; then run the product safely at scale. Job Responsibilities: Stand up and run squads (Discovery → Prototype → Product → Platform & SRE). Design and ship RAG/agent systems: pick models (e.g., Anthropic Claude, OpenAI, Google, or open-weights like Llama/Mistral), define tools/functions, and choose retrieval (default Postgres + pgvector, scale to Weaviate/Qdrant/Pinecone when needed). Operate AI safely: evals & guardrails, structured outputs (JSON/Schema), PII redaction, refusal policies, cost/latency budgets, and LLM observability. Own delivery outcomes: SLOs, quality, cost, velocity; release with feature flags and canaries. Be client-facing: discovery, scoping, SoW, roadmap, QBRs. Hire/coach Tech Leads, EMs, and PMs; level up practices.
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