COE - VP of AI Center of Excellence (CoE)

Role -  VP of AI Center of Excellence (CoE)

Location: US Remote

Role Overview

The VP of AI CoE will lead the strategic development, execution, and scaling of AI initiatives across the enterprise, with a strong focus on Generative AI, Agentic AI systems, and cloud-native architectures. This role is pivotal in transforming SDLC and business operations through AI-driven innovation, ensuring alignment with organizational goals, and fostering a culture of responsible and scalable AI adoption.

The role also includes oversight of internal platform development for flagship products such as CoCo.

Key Responsibilities

Strategic Leadership & Vision

• Define and execute the enterprise-wide AI strategy, aligning with business objectives and innovation roadmaps.
• Lead the development of Agentic AI and Generative AI systems, including autonomous agents and orchestration frameworks.
• Establish and evolve the AI Center of Excellence (CoE) operating model, governance, and engagement frameworks across the organization to support all industry sectors and geographies.

Technology & Architecture

• Oversee the design and deployment of AI solutions leveraging AWS, Azure, and Google Cloud Platform cloud services.
• Ensure scalable, secure, and compliant AI infrastructure, integrating with existing cloud and data platforms.
• Champion the adoption of CoCo with multi-agent systems across delivery projects and client engagements.
• Guide the development and evolution of CoCo, the SDLC optimization platform, ensuring it leverages Agentic AI to streamline software development workflows.

Innovation & Use Case Development

• Identify high-impact AI use cases across business units and lead pilot programs to validate and scale solutions.
• Collaborate with automation, digital engineering, and data teams to build reusable AI components and data products.
• Drive continuous improvement through experimentation, feedback loops, and performance optimization.

Talent Development & Team Leadership

• Build and mentor a multidisciplinary team of AI engineers, data scientists, and solution architects.
• Foster a culture of innovation, ethical AI practices, and cross-functional collaboration.
• Develop internal training programs and partnerships with the Learning team to increase AI literacy across the organization.

Stakeholder Engagement & Communication

• Act as the primary AI evangelist across the organization, engaging with clients’ C-suite executives, business leaders, and external partners.
• Translate complex AI concepts into compelling business value narratives for executive stakeholders.
• Represent the company in industry forums, conferences, and thought leadership platforms.

Qualifications

• 15+ years of total experience in technology, with at least 5 years of experience in AI/ML and leadership roles.
• Proven track record of deploying enterprise-grade AI systems, particularly Generative AI and Agentic AI solutions.
• Deep expertise in cloud platforms, including AWS, Azure, and Google Cloud Platform.
• Strong expertise in vector databases and MLOps.
• Strong understanding of AI governance, data strategy, and ethical AI frameworks.
• Excellent communication, stakeholder management, and strategic thinking skills.
• Experience with industry-leading CRM systems, including Salesforce.

Additional Requirements

Traditional AI Engineering

• Should have hands-on experience building AI applications and AI/ML models.
• Exposure to leading LLM technologies including Claude, Amazon Nova, and OpenAI, across on-premises and cloud environments.
• Strong experience with RAG (Retrieval-Augmented Generation) models and architectures.
• Proven ability to leverage AI to develop practical solutions for real-world business problems.
• Strong customer-facing and client engagement skills.
• Demonstrated ability to work effectively with cross-functional teams.