Agentic Architecture and LLMOps Engineering - Senior Principal, VP III - State Street Investment Management
Tasks
- Build human-in-the-loop workflows
- Define agentic architecture and implementation
- Deliver scalable agentic AI solutions
- Design agent workflows
- Design and deploy enterprise LLMOps pipelines
- Develop agent enablement across platform components
- Ensure operational excellence and monitoring
- Implement governance for AI agents
- Integrate AI protocols
- Lead agentic AI engineering team
- Select and integrate AI frameworks and tools
Perks/Benefits
- Dental insurance
- Employee assistance program
- Health insurance
- Paid time off
- Retirement savings plan
- Vision insurance
- Volunteer days
Skills/Tech-stack
A2A | AI Platform | AI Platform Architecture | AWS Bedrock | Agent systems | Agentic AI | Anthropic Code | Capacity Planning | Cloud infrastructure | Codex | Data Processing | Data Storage | Deep learning | FinOps | Gemini Enterprise | GitHub Copilot | Human-in-the-loop | LLMOps | Language Processing | Language model operations | Large Language Model | Large Language Model Operations | MCP | Machine Learning | Model Operations | Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Network Security | Observability | Platform Architecture | Python | Rust | SQL | The Loop | Unstructured Data | Unstructured Data Processing | Vertex AI
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Principal | Principal Engineer
Regions
Countries
States
Cities
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