Manager, AI Engineering
United States of America Milwaukee (South 2nd Street)
R
USD 123K-185K (estimate) Mid-level Full Time
Tasks
- Define solution approaches for GenAI and LLM applications
- Design prompt orchestration and agent workflows
- Develop and deploy RAG and vector database solutions
- Establish engineering standards and reusable technical patterns
- Evaluate LLM output and retrieval quality
- Implement MLOps and LLMOps practices
- Lead AI engineering strategy and architecture
- Manage incident response and rollback for production AI
- Oversee AI application integration with enterprise systems
- Set up CI CD testing deployment and monitoring
Perks/Benefits
Skills/Tech-stack
API Integration | APIs | Access Management | Agentic Workflows | Artificial Intelligence | Automated testing | Azure AI | Azure DevOps | Azure OpenAI | CI/CD | Containerization | Cybersecurity | Data Governance | Data integration | Document processing | Embeddings | GenAI | GitHub Actions | Graph API | Identity and Access Management | Identity and access | Incident Response | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft 365 | Microsoft Graph | Microsoft Graph API | Monitoring | Observability | Power Platform | Prompt engineering | Prompt orchestration) | Python | RAG | Retrieval-Augmented Generation | Serverless | Serverless Architectures | SharePoint | Telemetry | Vector Databases | Workflow automation
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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