Lead AI Platform Engineer | LLM | AI Platform | Databricks
Tasks
- Act as technical reference for AI platform consumers
- Collaborate with cybersecurity and platform teams for secure solutions
- Define MLflow practices
- Define governance standards for LLM use
- Design reusable AI architectures and frameworks
- Ensure AI governance and operational governance processes
- Establish MLOps standards
- Evaluate emerging AI technologies
- Implement version control for ML workflows
- Lead technical direction of AI platform capabilities
- Mentor engineers and promote AI platform best practices
Perks/Benefits
- Childcare assistance
- Continuous learning programs
- Dental insurance
- Extended parental leave
- Flexible benefits card
- Flexible working hours
- Health insurance
- Hybrid work model
- Internal training programs
- Language learning program
- Mentorship opportunities
- Professional development programs
- TotalPass access
- Wellness and mental health support
Skills/Tech-stack
AI Agents | AI gateway | Azure | Data Governance | Databricks | LLM Governance | Langchain | Langgraph | Language Models | Large Language Models | MLOps | MLflow | Model Context Protocol | Python | Unity Catalog
Education
N/A
Roles
AI | AI Platform Engineer | Engineer | Lead | Lead AI Platform Engineer | Platform Engineer
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