Head of AI Solutions, COO Technology - MD (C16)
Location(s): New York, New York, United States
USD 250K-500K Executive-level Full Time
Tasks
- Build AI total cost of ownership model
- Build and lead AI engineering organization operating model and career pathways
- Build shared AI platform models tooling and guardrails
- Define AI strategy and execution roadmap
- Deliver end to end production AI solutions with monitoring
- Design evaluation frameworks and human in the loop workflows
- Design generative AI and agentic system architecture
- Ensure model risk management and regulatory adherence
- Ensure stability scalability auditability explainability and regulatory compliance
- Establish AI engineering standards and development patterns
- Evaluate foundation models and agent frameworks build buy partner decisions
- Lead AI governance forums and architecture review boards
- Lead productivity and efficiency programs
- Manage AI technology budget and cost to serve
- Manage cross functional AI delivery and dependencies
- Manage vendor and partner AI platform strategy
- Provide executive communication and portfolio dashboards
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Agent systems | Arize | Audit Logging | Auditability | Autogen | Azure | Cloud Inference | CrewAI | Data Security | Drift Detection | Explainable AI | GCP | Generative AI | Human-in-the-loop | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | Model Deployment | Model Evaluation | Model versioning | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Orchestration | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SageMaker | Scalable inference | TensorFlow | The Loop | Training pipelines | Vector Databases | Vertex AI | Weighs and Biases
Education
N/A
Roles
Regions
Countries
States
Cities
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