COE GenAI Head

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 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 of our 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 and generative AI systems, including autonomous agents and orchestration frameworks. 

• Establish and evolve the AI CoE operating model, governance, and engagement frameworks across Qualitest to support all industry sectors and geographies. 

Technology & Architecture 

• Oversee the design and deployment of AI solutions leveraging AWS, Azure, and GCP 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 for delivery projects across the 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 within our organization. 

Stakeholder Engagement & Communication 

• Act as the primary evangelist for AI across the organization, engaging with clients’ C-suite, business leaders, and external partners. 

• Translate complex AI concepts into 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 in AI/ML and leadership roles. 

• Proven track record in deploying enterprise-grade AI systems, especially generative and agentic AI. 

• Deep expertise in cloud platforms (AWS, Azure, GCP), vector databases, and MLOps. 

• Strong understanding of AI governance, data strategy, and ethical AI frameworks. 

• Excellent communication, stakeholder management, and strategic thinking skills.