AI Delivery Leadership
- Lead the enterprise AI Delivery Engineering organization.
- Build and scale a high-performing team of AI Engineers, AI Solution Architects and AI Operations
- Establish delivery standards, engineering practices, and operating models for AI solution development.
- Own execution across multiple concurrent AI programs and business domains.
Enterprise AI Solution Delivery
Lead delivery of enterprise AI solutions including
- AI Agents
- Agentic Workflows
- AI-powered business automations
- Conversational AI
- Knowledge assistants
- Retrieval-Augmented Generation (RAG) solutions
- Multi-agent orchestration
Ensure solutions are secure, scalable, maintainable, and reusable.
Engineering Excellence
Establish engineering standards for
- Prompt engineering
- Agent development
- Tool integration
- MCP implementation
- API integrations
- AI workflow orchestration
- Code quality
- Reusable frameworks
- Secure development practices
Drive adoption of reusable AI components and engineering accelerators.
Delivery & Portfolio Management
Own delivery execution across the AI portfolio including
- Capacity planning
- Prioritization
- Roadmaps
- Resource allocation
- Milestone management
- Executive reporting
- Risk management
- Delivery metrics
Ensure predictable execution across multiple AI initiatives.
AI Operations (Run)
Establish operational excellence for production AI systems by overseeing:
- Production monitoring
- Agent health
- Incident management
- Performance optimization
- Model performance
- Prompt optimization
- Cost optimization
- AI observability
Drive continuous improvement after deployment.
Governance & Responsible AI
Create & Manage the AI Governance council, partnering with Security, and Compliance teams to ensure:
- Responsible AI practices
- Security reviews
- Privacy compliance
- Human-in-the-loop controls
- Auditability
- Model governance
- Risk assessments
- Regulatory compliance
Ensure governance is embedded throughout the delivery lifecycle.
Cross-functional Leadership
Partner closely with
- AI Strategy
- Enterprise Architecture
- Business Systems
- Data & Analytics
- Security
- Business Product Owners
- Legal
- Procurement
- Vendor Partners
Align technology delivery with business priorities.
Financial & Vendor Management
Manage delivery budgets and strategic partners by
- Overseeing vendor performance
- Managing delivery costs
- Driving AI platform optimization
- Tracking consumption and FinOps metrics
- Measuring ROI
- Optimizing engineering capacity
Organizational Leadership
Build a world-class AI delivery organization through
- Talent development
- Workforce planning
- Coaching and mentoring
- Organizational design
- Hiring
- Performance management
- Engineering culture
- Innovation