AI / Gen-AI Leader | Financial Services | Insights & Data

Develop and execute go-to-market strategies for AI and Gen-AI solutions in Financial Services, focusing on Banking, Capital Markets, and Insurance.
Build and maintain strong client relationships, delivering tailored AI solutions using generative and agentic AI frameworks.
Identify innovative use cases for generative and agentic AI, such as credit decisioning, fraud detection, personalized banking, claims processing, underwriting automation, and algorithmic trading.
Provide consulting on Gen-AI scalability, governance, prompt engineering, Gen-AI factory setup, and LLM fine-tuning.
Integrate advanced AI technologies using platforms like OpenAI, Anthropic, Meta’s LLaMA, and emerging multi-modal models.
Design and deploy autonomous agentic AI systems for financial applications, including self-optimizing models and automated compliance monitoring.
Represent Capgemini as an AI thought leader at industry events, conferences, and client engagements.
Demonstrate expertise in LLMs (e.g., GPT-4, LLaMA) with practical implementations across financial domains.
Build scalable AI architectures using cloud platforms (AWS, Azure, GCP) and integrate with Snowflake and Databricks.
Ensure AI solutions adhere to governance standards and financial regulations, with a focus on ethical and compliant deployment.
Your Profile:
Skilled in identifying and articulating AI/ML, generative AI, and agentic AI use cases in banking and insurance, including credit decisioning, claims processing, fraud detection, and personalized banking.
Proven ability to build compelling business cases and value models that highlight the tangible impact of AI solutions.
Strong experience across the full pre-sales cycle, including solution conceptualization, client presentations, proposal development, and contract negotiation.
Demonstrates strategic thinking and project leadership to drive AI initiatives from concept to deployment.
Experienced in building, mentoring, and leading high-performing AI teams across onshore and offshore locations.
Excellent client engagement skills, with a track record of working effectively with C-level stakeholders.
Holds a data science or STEM degree with a solid foundation in AI, ML, and advanced analytics.
Passionate about innovation and thought leadership in AI, consistently delivering creative solutions to complex business challenges.
Technically proficient in LLMs, agentic AI frameworks, Gen AI factories, reusable AI assets, and integration with financial systems.
Demonstrated leadership in client-facing roles, navigating complex environments, and driving AI adoption through strong stakeholder relationships.