Director, AI & Agentic Engineering
135 W 26th Street, New York, NY 10001; Montréal, Quebec, Canada
R
CAD 200K Executive-level Full Time
Tasks
- Add guardrails
- Apply AWS Bedrock when needed
- Apply Microsoft AI Foundry when needed
- Architect and deploy on Google Gemini Enterprise
- Build demos and proofs-of-concept
- Build memory management
- Build production AI systems
- Contribute to generative AI architecture strategy
- Create orchestration layers
- Curate training data
- Define context engineering practices
- Define platform roadmap
- Deploy fine-tuned models
- Deploy on Vertex AI
- Design fine-tuning pipelines
- Design prompt and system design
- Develop agent harnesses
- Develop evaluation frameworks
- Develop predictive modeling forecasting and recommendation
- Evaluate model performance
- Implement RAG architectures
- Implement observability for LLM systems
- Implement tool and function calling
- Lead AI and machine learning solution architecture
- Manage Vector Stores
- Manage and mentor AI engineering team
- Optimize scalability reliability and inference cost
- Oversee machine learning modeling
- Plan LLM tooling decisions
- Present solution architectures to clients
- Run supervised fine tuning
- Set technical standards
- Support pre-sales/scoping
Perks/Benefits
Skills/Tech-stack
AI Foundry | AWS Bedrock | Agent Orchestration | Agentic Systems | Artificial Intelligence | CI/CD | Cloud Architecture | Containers | Context engineering | Data Curation | Data Lakes | Data Warehouses | Embeddings | Evaluation Frameworks | Fine Tuning | Function Calling | Gemini Enterprise | Generative AI | Google Gemini | Google Gemini Enterprise | Guardrails | Infrastructure Deployment | Infrastructure as Code | Knowledge graphs | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Machine Learning | Microservices | Microsoft AI | Microsoft AI Foundry | Node.js | Observability | Programming | Prompt engineering | Python | RAG | React | Serverless | Supervised Learning | Tool use | TypeScript | Vector Databases | Vertex AI | “as-code”
Education
Regions
Countries
States
Cities
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