Director, AI Engineering
135 W 26th Street, New York, NY 10001; Montréal, Quebec, Canada
USD 200K-200K Executive-level Full Time
Tasks
- Apply Microsoft AI Foundry and AWS Bedrock when needed
- Architect and deploy solutions on Google Gemini Enterprise and Vertex AI
- Build agent harnesses with guardrails and observability
- Define context engineering practices
- Design and optimize production AI systems
- Develop fine tuning and model adaptation pipelines
- Lead AI and machine learning solution architecture
- Manage and mentor AI and ML engineering team
- Oversee classical and deep learning modeling and LLM applications
- Partner with leadership on generative AI strategy and platform roadmap
- Support pre sales demos proofs of concept and solution scoping
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AWS Bedrock | Agent Orchestration | Agent SDK | Claude Agent SDK | Context engineering | Cost Optimization | Fine Tuning | Gemini Enterprise | Generative AI | Google ADK | Google Gemini | Google Gemini Enterprise | Guardrails | LLM Engineering | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft AI | Microsoft AI Foundry | Model Evaluation | Observability | Prompt engineering | PyTorch | RAG | Reliability | Retrieval-Augmented Generation | Scalability | Scikit-learn | Supervised Learning | TensorFlow | Tool use | Vector Databases | Vertex AI | XGBoost
Education
Roles
AI Engineering | Director | Director, AI | Director, AI Engineering | Engineering
Regions
Countries
States
Cities
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