Principal Applied AI Engineering Manager
Tasks
- Build RAG pipelines
- Build and lead AI engineering pod
- Coordinate multi-agent systems
- Define technical direction and engineering standards
- Develop evaluation systems
- Drive end to end lifecycle of production AI agents
- Embed PII protection and audit trails
- Ensure observability and incident response
- Hire coach and develop AI engineers
- Implement deployment practices
- Manage responsible AI and compliance
- Measure KPIs and engineering ROI
- Mentor engineering talent
- Orchestrate LLM workflows
- Partner on product and platform roadmaps
- Perform root cause analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Artificial Intelligence | Azure | C# | CI/CD | Containers | Dataverse | Evaluation Frameworks | Golden datasets | LLM orchestration | Microservices | Multi-Agent | Multi-Agent Systems | Observability | Power Apps | Prompt engineering | Python | RAG Pipelines | Retrieval-Augmented Generation | Test-Driven | Test-Driven Development
Education
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