Executive Director, Head of AI Engineering

Tasks

• Align AI investments with outcomes
• Build AI leadership capacity
• Build high-performing AI teams
• Collaborate on reference architectures
• Define AI system standards
• Develop scalable AI solutions
• Drive AI community engagement
• Drive AI platform development
• Drive CI/CD and monitoring
• Embed privacy security and fairness
• Ensure reliable AI orchestration
• Foster collaborative culture
• Guide adoption of emerging AI paradigms
• Lead AI engineering strategy
• Partner on compliance and safety
• Provide technical leadership on AI models
• Represent AstraZeneca in AI forums
• Scale reusable AI assets
• Shape AI requirements and practices
• Shape build versus buy decisions
• Unite AI engineers across teams

Perks/Benefits

• Global impact
• Industry recognition
• Innovative environment
• Leadership development

Skills/Tech-stack

AI Engineering | AI System Standardization | API Development | Automated Evaluation | Cloud Platforms | Containers | Data Warehousing | Deep learning | Experiment tracking | GPUs | Incident Management | LL Mops | ML Ops | Machine Learning | Model Deployment | Monitoring | Observability | Orchestration | Process Automation | Responsible AI | Security | Streaming | System standardization