Director, Enterprise AI Architect
Tasks
- Define AI security review process with information security
- Define citizen development standards
- Define enterprise AI platform architecture
- Define model usage policies
- Design RAG pipelines
- Design model orchestration and model gateway
- Establish AI observability tooling
- Govern data to AI integration layer standards
- Guide third party implementation vendors on architecture
- Implement model routing and fallback
- Own AI FinOps cost governance
- Partner with business teams and embedded AI solutions engineers
- Prevent vendor lock in and manage knowledge transfer
- Review vendor AI submissions for security and compliance
- Set metadata standards and AI design patterns
Perks/Benefits
Skills/Tech-stack
21 CFR | 21 CFR Part 11 | AI Governance | AI Platform | AI Platform Architecture | AI Security | AWS Bedrock | AWS Glue | AWS SageMaker | Access Control | Agent Orchestration | Agentic AI | Amazon S3 | Anthropic | Architecture Review | Architecture Review Board | Artificial Intelligence | Audit Logging | CFR Part 11 | Chunking | Cost Tracking | DLP | Data Leakage Prevention | Data integration | Data leakage | Databricks | Embedding | Enterprise Architecture | FinOps | GxP | GxP Compliance | Human-in-the-loop | IAM | Indexing | Injection Protection | Lakehouse | Leakage prevention | Metadata standards | Model Orchestration | Model gateway | Model routing | Multi-Agent | Multi-agent orchestration | Observability | OpenAI | Part 11 | Platform Architecture | Prompt injection | Prompt-injection protection | RAG | RBAC | Retrieval-Augmented Generation | Review Board | Role-Based Access | Role-Based Access Control | Routing and Fallback | The Loop | Threat modeling | Token Monitoring | Token Usage Monitoring | Token usage | Usage monitoring
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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