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)
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