Executive Director of Applied AI
Tasks
- Build and coach distributed AI engineering team
- Communicate delivery progress and investment needs to executives
- Create reusable AI services and accelerators
- Define applied AI deployment strategy
- Deliver scalable reliable secure AI services
- Design system integration patterns
- Develop AI evaluation frameworks
- Establish engineering standards
- Implement Generative AI solutions in production
- Implement agentic systems in production
- Integrate AI products with enterprise business units
- Lead AI solution architecture
- Lead applied AI execution roadmap
- Modernize systems to integrate agentic AI
- Monitor solution performance and adoption
- Optimize AI services using feedback loops
- Orchestrate model and AI services
- Scale workflow automation solutions
- Translate business priorities into deployable AI products
Perks/Benefits
- Flexible working
- Global recognition programs
- Hybrid working
- Insurance plans
- Paid parental leave
- Retirement plans
- Wellbeing resources
Skills/Tech-stack
APIs | AWS | Agentic AI | Enterprise Architecture | Evaluation Frameworks | Generative AI | LLM orchestration | LLMOps | MLOps | Machine Learning | Monitoring | Production infrastructure | Python | Security | Software Delivery | System Integration | Vector Databases | Workflow automation
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