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Senior Director – AI Delivery
Coupa Software. Lead the enterprise AI Delivery Engineering organization .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading enterprise AI delivery organizations, focusing on building high-performing teams, establishing engineering practices, and ensuring compliance with security and governance standards. Proficient in managing AI solution development, vendor relationships, and operational metrics to drive successful AI implementations at scale.
Highest-signal resume keywords
AI Solution DevelopmentEnterprise Application DeliveryAI GovernanceStakeholder ManagementVendor Performance Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI EngineeringMachine LearningIntelligent AutomationAPI IntegrationsOrchestration FrameworksRAG ArchitecturesLLMsMCP ImplementationData InsightsCloud-Native Architectures
Soft Skills
Executive CommunicationTeam LeadershipCoachingMentoringOrganizational Design
Tools & Technologies
Google GeminiVertex AIApigeeSalesforceNetSuiteZuoraAnthropic Claude
Industry Keywords
Responsible AIAI GovernanceEnterprise SecurityTransformation ProgramsFinOps Metrics
Tech Stack
Tools & technologiesCloudERP
About the role
Key responsibilities & impact- Lead the enterprise AI Delivery Engineering organization
- Build and scale a high-performing team of AI Engineers, AI Solution Architects, and AI Operations professionals
- Establish delivery standards, engineering practices, and operating models for AI solution development
- Own execution across multiple concurrent AI programs and business domains
- Lead delivery of AI agents, agentic workflows, AI-powered business automations, conversational AI, knowledge assistants, RAG solutions, and multi-agent orchestration
- Ensure AI solutions are secure, scalable, maintainable, and reusable
- Establish standards for prompt engineering, agent development, tool integration, MCP implementation, API integrations, workflow orchestration, code quality, reusable frameworks, and secure development
- Drive adoption of reusable AI components and engineering accelerators
- Own capacity planning, prioritization, roadmaps, resource allocation, milestone management, executive reporting, risk management, and delivery metrics
- Oversee production monitoring, agent health, incident management, performance and cost optimization, model and prompt optimization, and AI observability
- Create and manage the AI Governance council with Security and Compliance teams
- Ensure responsible AI, security reviews, privacy compliance, human-in-the-loop controls, auditability, model governance, risk assessments, and regulatory compliance
- Partner with AI Strategy, Enterprise Architecture, Business Systems, Data & Analytics, Security, Product Owners, Legal, Procurement, and vendor partners
- Manage delivery budgets, vendor performance, delivery costs, AI platform optimization, FinOps metrics, ROI, and engineering capacity
- Build a world-class AI delivery organization through talent development, workforce planning, coaching, mentoring, organizational design, hiring, performance management, engineering culture, and innovation
Requirements
What you’ll need- 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 with Google Gemini, Vertex AI, Apigee, and Anthropic Claude ecosystems
- Preferred: Experience integrating AI into Salesforce, NetSuite, Zuora, or similar platforms
- Preferred: Knowledge of Responsible AI, AI governance, and enterprise security
- Preferred: Experience implementing AI observability, AI testing, and operational monitoring frameworks
- Preferred: Familiarity with cloud-native architectures, DevOps, CI/CD, and modern software engineering practices
Benefits
Comp & perks- Two designated company-wide paid wellness days off each year
- Paid day off on your birthday or another day within your birthday month
- 40 hours of paid Volunteer Time Off annually
- Free, confidential, 24/7/365 Employee Assistance Program counseling and resources
- Zurich Travel Assist business travel medical, safety, pre-trip planning, and emergency support
- Monetary referral bonuses for successful referrals
- Location-specific comprehensive medical/dental insurance
- Location-specific retirement/pension plans
- Location-specific life or accident protection