Principal AI Architect
Fort Mill/Charlotte, United States
USD 155K-259K Senior-level Full Time
Tasks
- Architect AI observability and usage analytics
- Architect and lead enterprise AI hub platform
- Build LLM gateway and AI access layer
- Define reference architectures for generative AI and agentic AI
- Define standards for agent onboarding and governance
- Design and govern model and agent registries
- Drive transition from siloed AI to governed enterprise ecosystem
- Embed security by design with identity propagation and RBAC
- Ensure AI security compliance and responsible AI controls
- Evaluate enterprise AI technologies
- Implement data access layer for structured and unstructured data
- Lead MLOps and LLMOps platform engineering
- Lead experimentation and proof-of-concept
- Mentor architects and AI teams
- Translate POCs into production platform capabilities
Perks/Benefits
Skills/Tech-stack
A2A | AI Governance | API Gateway | APIs | AWS | Access Layer | Agent Frameworks | Agent Orchestration | Agent to Agent | Amazon Bedrock | Audit Logging | Cloud Native | Cloud Native Architecture | Compliance reporting | Containers | Data Governance | Data Privacy | Deployment Automation | DevSecOps | Distributed Systems | DynamoDB | EKS | Event Driven | Event-driven architecture | Identity propagation | Infrastructure as Code | Java | Kubernetes | LLM Gateway | LLMOps | Lifecycle Management | MCP | MLOps | Microservices | Model Access | Model Access Layer | Model Context Protocol | Model Lifecycle | Model Lifecycle Management | Model registries | Observability | PII protection | Prompt management | Python | RAG | RBAC | Retrieval-Augmented Generation | Security Frameworks | Vector Databases | “as-code”
Education
Roles
AI | AI Architect | Architect | Principal | Principal AI Architect
Regions
Countries
States
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