Principal AI Engineer - Hybrid in Bangalore
Core
Architecting production agentic systems, orchestration frameworks, and knowledge/context graph infrastructure for a global AI platform.
Role type
Principal AI Engineer (Agentic Systems & Architecture)
Builds
Agent harness, sub-agent frameworks, knowledge graphs, and shared skills/tool libraries for enterprise work management.
Domain
Enterprise SaaS, AI Agents, Large Language Models (LLMs)
Deliverable
production ML models | product features | infrastructure
Required skills
Agentic system architecture, Agent orchestration, Knowledge graph design, Ontology design, Retrieval and grounding patterns, LLM tooling, Technical leadership, Cross-functional alignment
Preferred skills
Experience with Databricks Lakehouse, AWS Bedrock/AgentCore, Model Context Protocol (MCP), Responsible AI governance
Technologies
Databricks, AWS Bedrock, AgentCore, MCP, MLflow, Strands SDK
Responsibilities
Define target-state architecture for AI platform and agent harness; Design schema/ontology and ingestion pipelines; Build reference agent frameworks and shared skills libraries; Establish deployment, security, and governance patterns; Serve as technical lead for strategic partners (Databricks, AWS, Anthropic); Drive architecture decisions and cross-team alignment.
Seniority
Principal, hands-on IC with strategic influence
