Gen AI Delivery Leader

Job Description About The Role We are seeking a highly experienced Gen AI Delivery Leader responsible for driving the successful delivery and industrialization of Generative AI solutions across business lines. This includes leading crossfunctional teams, collaborating with stakeholders, and ensuring the scalable deployment of Gen AI assets and services. The role demands a blend of strategic vision, technical depth, and delivery excellence. You will be leading and delivering cuttingedge AI solutions that drive business value and operational excellence. Define and execute the roadmap for Gen AI delivery across multiple business functions, ensuring alignment with organizational goals. Lead the end-to-end delivery of Gen AI initiatives, from ideation and PoC to deployment and scaling. Act as the central point of coordination among business functions, technology teams, and clients to ensure consistent delivery outcomes. Drive the reuse and scaling of Gen AI assets, frameworks, and accelerators to improve productivity and client satisfaction. Foster a culture of innovation by integrating the latest Gen AI advancements into delivery practices. Drive the integration of AI solutions across multiple platforms, ensuring seamless deployment and operation. Stay abreast of the latest trends and advancements in ML and Gen AI, and advocate for their application within the organization. Ensure and enforce all AI solutions adhere to data privacy, security, and ethical standards. Identify opportunities for innovation within the AI domain, focusing on the development of reusable assets and tools. About The Role Grade Specific 18+ years of experience in enterprise architecture, with a strong focus on ML and Gen AI technologies. Proven experience in delivering AIpowered solutions at scale, preferably in clientfacing environments. Experience in handling complex projects requiring AI/GenAI technology infusion in the business for optimization and improvement. Deep understanding of Gen AI frameworks including frameworks like LangChain and other LLM based services including OpenAI, cloud platforms (AWS, Azure, GCP), and MLOps practices. Strong understanding of CI/CD, containerization (Docker, Kubernetes), and microservices architecture. Familiarity with Agile and DevOps methodologies. Excellent communication, stakeholder engagement, and team leadership skill. Exposure to industryspecific Gen AI use cases (e.g., SAP, Salesforce, Finance, Supply Chain, etc.). Job Classification Industry: IT Services & Consulting Functional Area / Department: Engineering Software & QA Role Category: Software Development Role: Solution Architect Employment Type: Full time Contact Details: Company: Capgemini Location(s): Hyderabad Ability to work in a team environment with members of varying skill levels. Highly motivated. Learns quickly. .