Executive Director, Head of AI Engineering

Tasks

• Align investments with outcomes
• Build AI leadership capacity
• Build and lead AI teams
• Collaborate on reference architectures
• Define AI engineering standards
• Develop AI platforms and tools
• Drive AI reuse and automation
• Embed Responsible AI and security
• Ensure security and compliance
• Foster team culture and collaboration
• Guide AI adoption and innovation
• Guide large distributed teams
• Implement CI/CD and lifecycle management
• Lead AI engineering organization
• Manage vendor and partner relations
• Provide technical leadership
• Represent in external AI communities
• Scale reusable AI assets
• Shape AI requirements and practices
• Unite global AI engineering community

Perks/Benefits

• Global impact leadership
• Inclusive work environment
• Innovation-driven culture
• Professional development opportunities

Skills/Tech-stack

AI systems | AI systems engineering | API Development | CI/CD | Cloud Platforms | Data platforms | Deep learning | Leadership | ML/LLMOps | MLOps Tools | Machine Learning | Model Deployment | Monitoring and observability | Responsible AI | Security and Privacy | Stakeholder Communication | Systems engineering