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.