Manager, AI Solution
USD 124K-175K (estimate) Mid-level Full Time
Tasks
- Architect end-to-end AI solutions
- Conduct technical design reviews
- Coordinate vendor evaluations and due diligence
- Define AI integration patterns
- Define cloud infrastructure for AI workloads
- Define engineering best practices
- Define enterprise AI architecture framework
- Design data architecture for AI
- Design enterprise AI technology stack
- Develop AI integration blueprints
- Embed regulatory and compliance requirements
- Enforce responsible AI guardrails
- Ensure GxP validation and audit trail compliance
- Establish model lifecycle management standards
- Evaluate AI technologies and platforms
- Lead AI architecture governance
- Maintain AI governance documentation
- Oversee MLOps pipelines
- Own AI platform architecture and governance
- Produce architecture deliverables
- Provide technical mentorship and reviews
- Serve as technical escalation point
- Support enterprise AI governance processes
Perks/Benefits
- N/A
Skills/Tech-stack
21 CFR | 21 CFR Part 11 | AI Services | AWS | Artificial Intelligence | Azure | Azure AI | Azure AI Services | Azure Machine Learning | Bicep | CFR Part 11 | CI/CD | Cloud platform | Data Lakes | Data Pipelines | Docker | Drift Detection | Event Driven | Event-driven architecture | Feature Stores | GDPR | Google Cloud | Google Cloud Platform | GxP | HIPAA | IaC | Kubernetes | LLM | LLM orchestration | Langchain | MLOps | MLflow | Machine Learning | Message Queues | Microsoft 365 | Microsoft 365 Copilot | Model Deployment | Model Monitoring | Model Training | Model retraining | Part 11 | RAG | REST APIs | SAP | Semantic Kernel | Terraform | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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