Drive the future of enterprise AI by leading the design and implementation of cutting-edge Gen AI and Agentic solutions. This pivotal role demands a fusion of deep technical AI/ML expertise and strategic business insight, aiming to foster innovation, reusability, and scalable deployments across diverse platforms and industries. You will be instrumental in crafting AI solutions that deliver significant business value and enhance operational efficiency.

Capgemini, a global leader in business and technology transformation, offers a dynamic environment where you can shape your career. Work on transformative projects, receive personalized career guidance, and benefit from comprehensive wellness programs. Join a diverse, responsible, and innovative group committed to accelerating digital and sustainable transitions worldwide.

Spearhead the development and deployment of enterprise-wide ML and Gen AI/Agentic architectures, ensuring scalability, security, and alignment with business objectives. Lead initiatives from ideation and proof-of-concept through to full-scale deployment and optimization. Discover opportunities for innovation and create reusable AI assets, accelerators, and frameworks. Oversee the seamless integration of AI models across platforms, prioritizing operational efficiency and compliance. Implement robust CI/CD strategies for AI solutions, focusing on performance and maintainability. Establish and uphold governance policies, standards, and best practices for AI architecture and deployment, ensuring data privacy and ethical considerations are met. Mentor technical teams and foster a culture of excellence and innovation. Collaborate with stakeholders to translate business needs into effective AI solutions and drive widespread adoption.

A Master's degree in Computer Science, Engineering, Data Science, or a related field, with a Ph.D. being preferred. Possess over 6 years of experience in enterprise architecture and solution delivery, with a pronounced focus on ML and Generative AI. Demonstrate a proven ability to design and deploy AI-powered solutions at scale within client-facing settings. Exhibit deep expertise in Agentic AI frameworks such as LangChain, LangGraph, and Semantic Kernel, alongside LLM-based services. Possess hands-on experience with Azure AI, OpenAI, and multi-cloud environments (AWS, Azure, GCP). Strong understanding of CI/CD, Docker, Kubernetes, and microservices architecture is essential. Excellent communication, stakeholder engagement, and team leadership capabilities are required. Exposure to industry-specific Gen AI use cases in areas like SAP, Salesforce, Finance, or Supply Chain is highly advantageous.