Generative AI Engineer

Greetings from TCS,

TCS Gurgoan/NCR providing excellent opportunity for Generative AI Developer !!!!

Job Title :- Generative AI Developer

Job Location: Gurgoan/NCR

Experience Range: 4 to 15 Years

Must Have:

• 4-6 years of experience in machine learning, with a focus on generative models.
• Proven track record of building and deploying AI models in production.
• Experience leading projects and mentoring junior engineers.

Required Skills and Qualifications:

• Strategic AI Leadership
• Develop an AI roadmap for TCS BaNCS products, focusing on automation in Corporate Actions and related financial operations.
• Identify opportunities to integrate Generative AI for document automation, intelligent reporting, and conversational interfaces.
• AI Governance & Compliance
• Establish frameworks for ethical AI and GenAI use in financial services, ensuring adherence to global regulatory standards (MiFID, FATCA, ISO 20022).
• Oversee risk management for AI deployments in sensitive financial domains.
• Product Innovation & Integration
• Drive AI-based enhancements in Corporate Actions workflows (event capture, validation, settlement).
• Collaborate with product engineering teams to embed GenAI-powered features such as automated client communication, smart documentation, and predictive insights.
• Capability Building
• Build and mentor AI and GenAI teams within the BaNCS product group; foster innovation and continuous learning.
• Promote AI literacy across product and delivery teams.

Stakeholder Engagement

Role Description:-

• Deep expertise in AI, Machine Learning, and Data Science technologies.
• Strong understanding of Corporate Actions lifecycle and Capital Market processes.
• Proven experience in enterprise-scale AI and GenAI implementation within financial services.
• Advanced degree in Computer Science, AI, or related field; certifications in AI governance preferred.

GenAI-Specific Skills

• Experience with Large Language Models (LLMs) and prompt engineering.
• Ability to design GenAI solutions for financial workflows (e.g., automated corporate action notifications, client query handling).
• Knowledge of model fine-tuning, RAG (Retrieval-Augmented Generation), and secure deployment of GenAI in regulated environments.
• Familiarity with AI ethics for generative models, including bias mitigation and explainability.