AI Engineering Manager, Digital Transformation & Innovation
Tasks
- Build multi agent orchestrations
- Build regression tests
- Collaborate with context and data engineering teams
- Coordinate AI governance reviews and approvals
- Create evaluation harnesses
- Design agent architectures
- Design agent observability
- Design prompt strategies
- Detect model drift
- Ensure AI governance compliance
- Evaluate and integrate emerging models
- Implement LLM powered application features
- Implement error handling retry and fallback
- Implement function calling
- Implement guardrails
- Implement responsible AI controls
- Implement retrieval-augmented generation pipelines
- Implement structured outputs
- Maintain documentation and evidence
- Manage data handling and auditability
- Own LLMOps deployment and monitoring
- Provide engineering leadership and mentoring
- Route and optimize models for cost and latency
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Search | Azure AI | Azure AI Foundry | Azure AI Search | Azure Container | Azure Container Apps | Azure DevOps | Azure OpenAI | CI/CD | Container Apps | Docker | Drift Detection | Durable Functions | Embeddings | Function Calling | Git | LLMOps | Langchain | Monitoring | Observability | Prompt engineering | RAG | Responsible AI | Retrieval-Augmented Generation | Risk Management | Semantic Kernel | Structured outputs | Vector Search
Education
Bachelor of Engineering | Bachelor of Information Technology | Bachelor of Science | Bachelor of Science in Computer Engineering | Bachelor of Science in Computer Science | Bachelor of Science in Engineering | Bachelor of Science in Information Systems | Bachelor of Science in Information Technology | High School Diploma
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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