Senior Gen AI - Agentic AI

Capco
Capco

Software Engineering, Data Science

Bengaluru, Karnataka, India · Chennai, Tamil Nadu, India

Posted on Jul 21, 2026

Job Title: Senior Gen AI - Agentic AI

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore/ Chennai

Experience - 7 to 12

Skills and Qualifications:

Role Summary

We are seeking an experienced Agentic AI Specialist to join our Regulatory Technology team supporting the Cash & Payments domain within a leading global bank.

The ideal candidate will have strong expertise in GitHub Copilot, Large Language Models (LLMs), and Agentic AI, with experience in leveraging AI to accelerate software development, automate regulatory processes, and improve engineering productivity while ensuring compliance with enterprise governance and security standards.

Key Responsibilities

Design and implement AI-driven solutions to support regulatory initiatives within the Cash & Payments domain.

Leverage GitHub Copilot and other enterprise AI capabilities to improve developer productivity, code quality, documentation, and software delivery.

Build and integrate Agentic AI solutions using LLMs to automate complex business and technology workflows.

Collaborate with business, compliance, technology, and operations teams to identify and deliver AI-enabled use cases.

Develop Retrieval-Augmented Generation (RAG) solutions using regulatory documentation, policies, and internal knowledge repositories.

Integrate AI solutions with enterprise applications, APIs, and development toolchains.

Ensure AI solutions comply with enterprise security, model governance, privacy, and regulatory requirements.

Promote AI adoption by defining best practices, providing technical guidance, and mentoring development teams on GitHub Copilot and responsible AI usage.

Required Skills & Experience

10–12 years of experience in software engineering, AI/ML, intelligent automation, or engineering transformation within Banking or Financial Services.

Strong hands-on experience with GitHub Copilot and AI-assisted software development.

Experience working with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Anthropic, or similar enterprise models.

Good understanding of Agentic AI concepts, AI orchestration, prompt engineering, and AI-enabled development workflows.

Experience implementing RAG architectures and integrating enterprise knowledge sources.

Strong programming skills in Python and experience integrating REST APIs and cloud-native services.

Familiarity with Agile and DevOps practices, CI/CD pipelines, and modern software engineering practices.

Domain Expertise

Good understanding of Banking, Cash Management, and Payments. Experience working on Regulatory Technology (RegTech), compliance, or risk transformation initiatives is highly desirable.

Knowledge of payment standards such as SWIFT, ISO 20022, or real-time payment ecosystems will be an advantage.