Agentic AI Architect
New York, New York, United States
A USD 110K-170K (estimate) Senior-level Full Time
Tasks
- Create metadata driven onboarding framework for multi LOB
- Define AI safety and guardrails
- Define end to end agentic AI platform architecture
- Define integration architecture across data sources and third party APIs
- Design API and microservices patterns
- Design agentic orchestration framework
- Design multimodal integration approach
- Design prompt management and evaluation
- Design vector search and retrieval
- Drive technical decisions and stakeholder communication
- Ensure explainability auditability and traceability
- Establish ModelOps and PromptOps frameworks
- Establish architecture patterns for RAG and grounding
- Guide engineers and align with architecture
- Lead technical execution across AI data and platform teams
- Select use cases for GenAI versus deterministic logic
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Foundry | AI Search | Application Insights | Azure AI | Azure AI Foundry | Azure AI Search | Azure DevOps | Azure OpenAI | CI/CD | Embedding | FastAPI | GitHub Actions | LLM-as-judge | Langgraph | Language Models | Large Language Models | Logging | MCP | Microservices | Microsoft Presidio | Model Context Protocol | Monitoring | NVIDIA NeMo Guardrails | NVIDIA Nemo | Nemo Guardrails | OpenAI API | Performance Tuning | Prompt engineering | Prompt lifecycle | Python | REST | Retrieval-Augmented Generation | Scalability | Semantic Kernel | Test datasets | Vector Search
Education
Roles
Regions
Countries
States
Cities
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