Sr Director - AI Delivery - 11891

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The Senior Director, AI Delivery leads the engineering organization responsible for designing, building, deploying, and operating enterprise AI solutions across the company. This leader owns the end-to-end delivery lifecycle for AI initiatives, partnering closely with business stakeholders, AI Strategy, Enterprise Architecture, Data, Infrastructure, Security, and Product teams to transform business opportunities into production ready AI capabilities.

The role is accountable for execution excellence, engineering quality, delivery predictability, operational stability, governance compliance, and business value realization across a portfolio of AI agents, automations, and intelligent workflows. The focus is on delivering enterprise grade AI products that are scalable, secure, measurable, and reusable.

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

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.