Manager, AI Engineering
Tasks
- Ensure production readiness and testing
- Ensure responsible AI privacy and data governance compliance
- Evaluate vendors and manage partner performance
- Lead AI engineering teams
- Manage AI intake and prioritization
- Manage monitoring ownership and documentation
- Partner with enterprise architecture security and governance
- Plan and execute AI engineering delivery
- Review AI solution approaches
- Set team goals and performance expectations
- Support budget forecasting and cost tracking
- Support stakeholder engagement and AI enablement
- Track risks dependencies and outcomes
Perks/Benefits
- Diversity Equity and Inclusion
- Health and well-being initiatives
- Paid time off
- Pension plan
- Performance Based Incentive Plans
- Professional development
- Recognition programs
- Savings options
Skills/Tech-stack
AI Foundry | Artificial Intelligence | Azure AI | Azure AI Foundry | Budgeting | Cloud Computing | Compliance | Copilot Studio | Data Governance | Integration | Machine Learning | Microsoft Copilot | Microsoft Fabric | Monitoring | Platform Licensing | Privacy | Production Readiness | Responsible AI | Risk Management | Security | Software Delivery | Stakeholder management | Testing | Vendor management
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology | Master of Science
Roles
AI | AI Engineering | AI Engineering Manager | Engineering Manager | Manager
Regions
Countries
States
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