Lead AI Architect (Remote)
Home Office - Ohio, United States
R
USD 172K-245K (estimate) Senior-level Full Time
Tasks
- Address OWASP LLM Top 10 risks
- Architect MCP server infrastructure
- Collaborate with Product, Engineering, and Platform teams
- Create AI evaluation frameworks
- Create structured output schemas
- Define AI solution architecture
- Define model routing and fallback standards
- Define technical evaluation criteria
- Design RAG architectures
- Design multi model orchestration
- Develop prompt engineering standards
- Ensure scalability security maintainability
- Establish AI observability practices
- Guide prototyping and proof of concept
- Implement function calling
- Implement vector database strategies
- Integrate AWS Bedrock model provider
- Integrate Anthropic model provider
- Integrate Azure OpenAI model provider
- Integrate LLM tool ecosystems
- Mentor peers and establish best practices
- Mitigate prompt injection
- Own agentic workflows architecture
- Present technical recommendations to stakeholders
- Prevent PII leakage
- Uphold security compliance responsible AI standards
Perks/Benefits
Skills/Tech-stack
AI Evaluation | AI Observability | AWS | AWS Bedrock | Anthropic | Autogen | Azure | Azure OpenAI | CI/CD | Compliance | CrewAI | Docker | Event Driven | Event-driven architecture | Function Calling | GraphQL | Infrastructure as Code | Java | Kubernetes | Langchain | Langgraph | Model Context Protocol | Model Orchestration | Multi-model | Multi-model orchestration | Node.js | Prompt engineering | Python | RAG | REST APIs | Security | Structured outputs | TypeScript | Vector Databases | “as-code”
Education
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