AI Engineering Manager - Global Infra
Tasks
- Architect GenAI and agentic AI solutions
- Build production AI workloads
- Conduct red teaming and regression testing
- Define AI security privacy and governance
- Establish AI testing and evaluation
- Implement AI observability tracing logging metrics alerts
- Implement DevOps and MLOps practices
- Lead AI engineering team
- Mentor and develop AI engineers
- Review designs and code
- Run AI opportunity intake and roadmap planning
- Set up CI CD for models and prompts
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Pipelines | AI endpoints | AI vector search | APIs | Access Control | Agent Builder | Agentic Workflows | Alerting | Audit Logging | Azure AI | Azure AI Foundry | Blue-Green Deployment | Blue/green | CI/CD | Canary Deployment | Data Governance | Deep learning | DevOps | Docker | Fine Tuning | GCP | Human-in-the-loop | Infrastructure as Code | Kubernetes | LLM | Language Processing | Logging | MLOps | Machine Learning | Metrics | Model Evaluation | Natural Language | Natural Language Processing | Observability | Prompt engineering | RAG | Red Teaming | Role-Based Access | Role-Based Access Control | Security | The Loop | Tool-Calling | Tracing | Vector Search | Vertex AI | Vertex AI Agent Builder | Vertex AI Endpoints | Vertex AI Vector Search | Vertex AI pipelines | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineering | AI Engineering Manager | Engineering Manager | Manager
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