Manager, AI Engineering - AI & Business Tech Engineering
Tasks
- Build internal AI platform components
- Collaborate with enterprise architecture and security teams
- Design architecture and prototypes for agents and copilots
- Develop orchestration and tool use for agentic systems
- Drive evaluation first development and prompt versioning
- Establish runtime governance and incident response
- Implement AI governance and safety practices
- Implement evaluation and monitoring for LLM outputs
- Lead and mentor distributed AI engineering team
- Manage OKRs and report metrics
- Partner with business leaders to identify AI opportunities
- Recruit and grow AI engineering talent
- Set technical bar for AI agents and platform
Perks/Benefits
Skills/Tech-stack
Agents | Audit Logging | Cost attribution | Evaluation | GRPC | Go | Human-in-the-loop | Incident Response | Java | Kubernetes | LLMOps | Language Models | Large Language Models | MCP | Model Context Protocol | Observability | Orchestration | Prompt versioning | Python | RAG | Retrieval-Augmented Generation | Runtime guardrails | Serverless | The Loop | Tool use | TypeScript | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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