Gen AI Solution Leader @ Capgemini

• 18+ years of experience in enterprise architecture, solution delivery with a strong focus on ML and Gen AI technologies.Proven experience in solutioning AI-powered solutions at scale, preferably in client-facing environments.
• Deep understanding of Gen AI frameworks including frameworks like Lang chain 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 industry-specific Gen AI use cases (e.g., SAP, Salesforce, Finance, Supply Chain etc.,)
• Minimum 8 years of extensive experience in solutioning end to end product/assets by leveraging multiple technology components including AI/ML and Generative AI.
• Strong problem-solving, strategic thinking and analytical skills, with the ability to synthesize complex information and make data-driven decisions.Proven experience in leading large-scale AI solution deployments and managing cross-functional teams.

Key Responsibilities:

• Lead the development and implementation of enterprise-wide ML and Gen AI architectures, ensuring they are scalable, secure, and aligned with business goal
• Lead the end-to-end development deployment of Gen AI initiatives, from ideation and PoC to deployment and scaling
• Identify opportunities for innovation and lead the creation of reusable Gen AI assets, accelerators, and frameworks
• Oversee the seamless deployment of Gen AI models across platforms, ensuring operational efficiency and compliance
• Develop and implement strategies for continuous integration and delivery of AI solutions, optimizing for performance and maintainability
• Establish and enforce governance policies, standards, and best practices for AI architecture and deployment, ensuring adherence to data privacy and ethical guidelines
• Mentor and lead a technical team and architects fostering a culture of innovation and excellence
• Collaborate with business stakeholders to translate requirements into scalable AI solutions and drive adoption
• Act as the central point of coordination among business lines, technology teams, and clients to ensure consistent delivery outcomes
• Identify opportunities for innovation within the AI domain, focusing on the development of reusable assets and tools

Preferred Qualifications:

Masters degree in computer science, Engineering, Data Science, or a related field. Ph.D. is a plus.