Sr. Director, AI Engineering 0626
Tasks
- Balance AI innovation with governance and risk management
- Build AI literacy through education and enablement
- Build manage AI program portfolio
- Define AI vision strategy and operating model
- Define intelligent application architecture standards
- Develop AI opportunity evaluation prioritization and scaling frameworks
- Develop multi year AI adoption roadmap
- Drive AI assisted software development practices
- Drive accountability for scope timelines quality adoption and outcomes
- Embed privacy transparency human oversight and operational controls
- Ensure responsible AI adoption with risk security legal compliance and governance
- Establish AI delivery frameworks operating models performance measures
- Establish AI governance funding prioritization metrics
- Establish adoption strategies and change management programs
- Evaluate emerging AI technologies
- Identify prioritize high value AI use cases
- Implement AI security and governance controls
- Implement enterprise data integration
- Implement knowledge retrieval and search
- Implement model access and orchestration
- Implement monitoring and observability
- Lead and develop AI engineering architecture automation and technology teams
- Lead delivery of enterprise AI initiatives from strategy through adoption
- Lead enterprise AI platform capabilities
- Lead intelligent automation decision support and knowledge management initiatives
- Manage AI technology investments budgets vendor relationships partnerships
- Mentor leaders and technical teams and set performance expectations
- Modernize technology delivery with AI enabled capabilities
- Operationalize enterprise AI governance frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | APIs | Access Management | Artificial Intelligence | Cloud Platforms | Cybersecurity | Data Architecture | Data integration | Delivery lifecycle | Distributed Systems | Enterprise Data | Enterprise data integration | Foundation Models | Generative AI | Human oversight | Identity and Access Management | Identity and access | Knowledge Management | Knowledge Retrieval | Language Models | Large Language Models | Lifecycle Management | Model Lifecycle | Model Lifecycle Management | Monitoring and observability | Privacy | Prompt engineering | Responsible AI | Retrieval-Augmented Generation | Security and Governance | Software Delivery | Software Delivery Lifecycle | Transparency | Workflow automation
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