Agentic AI Specialist (Banking/Financial Service)

Capco

Malaysia - Kuala Lumpur permanent

Posted: March 15, 2026

Quick Summary

The Agentic AI Specialist in banking and financial services will work with international clients to develop and implement AI solutions that drive business outcomes. The ideal candidate will have expertise in AI and machine learning, with a strong understanding of the financial services industry. The role requires a deep understanding of data analysis, business acumen, and excellent communication skills.

Job Description

About Capco

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services and energy industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.

We are experts in Banking, Capital Markets, Wealth and Asset Management. We specialise in Digital Transformation, Data Management & Data Analytics, Business & Finance Transformation engagements, and IT transformation and Change programs.

We are committed to growing our business and hiring the best talent in the market. Our focus is on maintaining our agile and entrepreneurial culture.

Role Overview

We are looking for an innovative and experienced Agentic AI Specialist with expertise in GitHub Copilot, large language models (LLMs) and agent-based modelling to join our forward-thinking team. The ideal candidate will have a deep understanding of AI-driven development tools, natural language processing, and the ability to integrate these technologies to enhance productivity and efficiency in software development processes.

Key Responsibilities

• AI Integration and Optimization:

• Leverage GitHub Copilot and other AI-driven tools to enhance coding efficiency and accuracy.

• Integrate large language models (LLMs) into existing workflows to automate and improve development processes.

• Development and Implementation:

• Develop and implement AI solutions that assist in code generation, debugging, and documentation.

• Collaborate with development teams to identify and address areas where AI can improve productivity and quality.

• Research and Innovation:

• Stay abreast of the latest advancements in AI, machine learning, and natural language processing.

• Conduct research to explore new applications of LLMs and AI tools in software development.

• Training and Support:

• Provide training and support to development teams on the effective use of GitHub Copilot and other AI tools.

• Develop documentation and best practices for integrating AI tools into the development lifecycle.

• Collaboration and Communication:

• Work closely with cross-functional teams to understand their needs and provide tailored AI solutions.

• Communicate complex AI concepts and solutions to non-technical stakeholders.

• Security and Compliance:

• Ensure that all AI solutions comply with security and regulatory requirements.

• Implement best practices for data privacy and security in AI-driven development processes.

Key Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• 3+ years of experience in AI, machine learning, or related roles.

• Proven track record of integrating AI tools into software development processes.

• Proficient in programming languages such as Python, JavaScript, or similar.

• Extensive experience with GitHub Copilot and other AI-driven development tools.

• Strong understanding of large language models (LLMs) and their applications.

• Familiarity with natural language processing (NLP) techniques and tools.

• Familiarity with agile methodologies and DevOps practices.

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