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Coupa is seeking a Senior Director of AI Delivery to lead the engineering organization responsible for designing, building, deploying, and operating enterprise AI solutions. This is a strategic leadership role accountable for end-to-end delivery of AI initiatives across the company, partnering with business stakeholders, AI Strategy, Enterprise Architecture, Data, Infrastructure, Security, and Product teams.
You will lead a high-performing team of AI Engineers, AI Solution Architects, and AI Operations professionals. Key responsibilities include:
**AI Delivery & Engineering Excellence**: Establish delivery standards, engineering practices, and operating models for AI solution development. Lead delivery of enterprise AI solutions including AI agents, agentic workflows, AI-powered business automations, conversational AI, knowledge assistants, RAG solutions, and multi-agent orchestration. Ensure solutions are secure, scalable, maintainable, and reusable. Drive adoption of reusable AI components and engineering accelerators.
**Portfolio & Delivery Management**: Own execution across multiple concurrent AI programs and business domains. Manage capacity planning, prioritization, roadmaps, resource allocation, milestone management, executive reporting, risk management, and delivery metrics to ensure predictable execution.
**AI Operations**: Establish operational excellence for production AI systems by overseeing production monitoring, agent health, incident management, performance optimization, model performance, prompt optimization, cost optimization, and AI observability. Drive continuous improvement after deployment.
**Governance & Responsible AI**: Create and 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, and regulatory compliance.
**Cross-functional Leadership**: Partner closely with AI Strategy, Enterprise Architecture, Business Systems, Data & Analytics, Security, Business Product Owners, Legal, Procurement, and Vendor Partners to align technology delivery with business priorities.
**Financial & Vendor Management**: Manage delivery budgets and strategic partners, overseeing vendor performance, managing delivery costs, driving AI platform optimization, tracking consumption and FinOps metrics, measuring ROI, and 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, and innovation.
**Requirements**:
- 12–15+ years of experience leading enterprise technology organizations
- 7+ years managing engineering or enterprise application delivery / Data insights teams
- Experience delivering AI, machine learning, or intelligent automation solutions at enterprise scale
- Deep understanding of enterprise application ecosystems including CRM, ERP, HR, Finance, and collaboration platforms
- Experience with LLMs, RAG architectures, agent frameworks, MCP, API integrations, orchestration frameworks, and enterprise AI platforms
- Experience building and leading global engineering organizations
- Strong executive communication and stakeholder management skills
- Experience managing strategic vendors and systems integrators
- Demonstrated success leading large transformation programs
**Preferred Experience**:
- Experience with Google Gemini, Vertex AI, Apigee, Anthropic Claude ecosystems
- Experience integrating AI into enterprise platforms such as Salesforce, NetSuite, Zuora, or similar
- Knowledge of Responsible AI, AI governance, and enterprise security
- Experience implementing AI observability, AI testing, and operational monitoring frameworks
- Familiarity with cloud-native architectures, DevOps, CI/CD, and modern software engineering practices
