Director, AI Engineering
San Jose, CA, United States
USD 293K-335K Executive-level Full Time
Tasks
- Advise on AI ML technologies models orchestration engines and deployment platforms
- Align platform capabilities with business goals
- Attract retain and develop AI engineering talent
- Define strategic vision for autonomous AI systems and platforms
- Develop and execute agentic AI platform roadmap
- Ensure compliance with industry regulations and ethical AI standards
- Ensure platform scalability and reliability
- Make build vs buy decisions for open source and SaaS AI technologies
- Manage end-to-end platform lifecycle
- Oversee development and growth of AI engineering teams
- Partner cross functionally to deliver AI powered products
- Provide technical leadership for agentic workflows
- Set best practices for AI orchestration MLOps and application development
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | AWS | Agentic Workflows | Artificial Intelligence | C# | C++ | Cloud deployment | Golang | Google Cloud | Guardrails | Java | LLM Inference | MLOps | Machine Learning | Memory systems | Microsoft Azure | Python | Responsible AI | Scalable systems | Similarity Search | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineering | Director | Director, AI | Director, AI Engineering | Engineering
Regions
Countries
States
Cities
Language: en
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