AI Architect

Description :

Role Overview :

The AI Architect will define and own the end-to-end architecture for the Agentic AI platform. This role is responsible for platform-level design decisions, technology selection, architecture governance, and alignment with hyperscaler partners such as AWS.

The architect will ensure scalability, reliability, and operational excellence across the AI platform.

Key Responsibilities :

- Define and own the platform reference architecture across all layers including integration, orchestration, cognitive core, memory, knowledge, and observability.

- Make final technology and framework decisions including LLM selection, orchestration frameworks (LangGraph, Bedrock AgentCore), vector databases, memory stack, and API gateway.

- Conduct architecture reviews and approve design decisions before implementation begins.

- Maintain and manage the Architecture Decision Record (ADR) documentation.

- Collaborate with AWS hyperscaler teams for technical alignment, platform roadmap visibility, and quota management.

- Own and maintain the technical risk register, proactively identifying architectural risks and mitigation strategies.

- Define agent design patterns, guardrails, and observability standards for engineering teams.

- Represent the platform in customer technical discussions, CTO-level engagements, and partner interactions.

Required Skills & Experience :

- 3 to 4 years of experience in enterprise software engineering and cloud architecture

- Strong expertise in LLM and agentic frameworks (LangGraph, LangChain, Bedrock)