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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and delivery of agentic AI systems across the full lifecycle from domain discovery to production.
Translate domain expertise into technical specifications and own harness engineering components such as context management, guardrails, and tracing.
Anchor and set technical direction for a pod of engineers, establish reusable patterns, and represent work to diverse stakeholders including product owners and executives.
Minimum Requirements
Proven experience designing and shipping agentic AI systems into production for real users.
Strong production fluency with agent orchestration frameworks like LangGraph, Google ADK, or Microsoft Agent Framework.
Experience with multiple AI model families and production experience on at least one major cloud AI platform (GCP or Azure).
Work Location: Bangalore; Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Technical leadership in AI agentic architecture with hands-on engineering and lifecycle management experience.
Comfortable translating complex domain knowledge into scalable AI agent solutions and evaluation infrastructure.
Experience in consumer goods, retail, or large-scale measurement data domains preferred but not mandatory.