Gen AI Leader- XEBIA

We are looking for a seasoned Generative AI Leader to drive end-to-end AI strategy, build and scale AI / GenAI competencies, and lead enterprise-wide adoption of AI -driven solutions. This role will be responsible for defining vision, building capabilities, driving innovation, and delivering business impact through AI .

Key Responsibilities

AI Strategy & Vision

• Define and execute the enterprise AI & Generative AI strategy aligned with business objectives
• Identify high-impact use cases across functions (Sales, Operations, Customer Experience, HR, etc.)
• Drive AI -led transformation initiatives across business units

Gen AI Capability Building

• Build and scale Gen AI competency/CoE (Center of Excellence) from the ground up
• Establish frameworks for AI adoption, governance, and best practices
• Drive capability building across LLMs, NLP, Computer Vision, and AI platforms
• Develop reusable assets, accelerators, and AI solution frameworks

End-to-End AI Delivery

• Lead end-to-end lifecycle of AI programs: use case identification → data strategy → model development → deployment → scaling
• Oversee development and deployment of GenAI solutions (LLMs, chatbots, copilots, automation tools)
• Ensure scalability, security, and ethical AI implementation

Stakeholder & Business Engagement

• Partner with CXOs and business leaders to drive AI adoption and ROI-led outcomes
• Translate business problems into AI -driven solutions and roadmaps
• Act as a trusted advisor for AI transformation initiatives

Innovation & Thought Leadership

• Stay ahead of trends in Generative AI , LLMs, Agentic AI , and AI platforms
• Drive innovation through POCs, pilots, and experimentation frameworks
• Represent the organization in industry forums, conferences, and client engagements

Team Leadership & Scaling

• Build and lead high-performing AI teams (data scientists, ML engineers, AI architects)
• Mentor teams on AI best practices, model development, and deployment frameworks
• Drive a culture of innovation, experimentation, and continuous learning

Partnerships & Ecosystem

• Establish partnerships with hyperscalers (AWS, Azure, GCP) and AI platform providers
• Collaborate with startups, academia, and technology partners for innovation
• Evaluate and onboard AI tools, platforms, and vendors

Key Requirements

• 12–18+ years of experience with strong exposure to AI /ML and Generative AI
• Proven experience in building AI competency / CoE from scratch
• Hands-on experience with:
  • LLMs (GPT, open-source models)
  • NLP, deep learning, and ML frameworks
  • AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI )
• Strong understanding of data engineering, MLOps, and AI deployment at scale
• Experience in end-to-end AI program delivery in enterprise environments
• Strong stakeholder management and CXO-level engagement experience
• Prior experience in consulting / IT services / product organizations preferred