AI Architect with Data Platform

AI Architect

India - Bengaluru

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.

Job Location: Pune, Bangalore

AI Architect

Capco is seeking an experienced AI Architect with strong expertise in Data Platform Architecture to design, develop, and implement enterprise-scale AI and data solutions. The ideal candidate will have deep knowledge of AI/ML technologies, cloud-based data platforms, modern data architectures, and enterprise integration patterns.

This role will be responsible for defining AI and data strategies, architecting scalable solutions, and collaborating with business and technology stakeholders to drive digital transformation initiatives.

Key Responsibilities

• Define and lead enterprise AI architecture strategy aligned with business objectives.
• Design and implement scalable AI/ML and Generative AI solutions.
• Architect modern data platforms supporting analytics, machine learning, and real-time processing.
• Develop end-to-end data and AI solution architectures across cloud and hybrid environments.
• Establish AI governance, security, responsible AI, and MLOps best practices.
• Collaborate with data engineers, data scientists, product owners, and business stakeholders.
• Design data ingestion, transformation, orchestration, and serving layers.
• Evaluate emerging AI, GenAI, and cloud technologies and recommend adoption strategies.
• Drive architecture reviews and ensure compliance with enterprise standards.
• Develop reusable architecture frameworks, reference architectures, and best practices.
• Provide technical leadership and mentorship to engineering teams.