AI Architect

Job Title:AI Architect

 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 Description:

Key Responsibilities 

• Lead solution design from business problem to target architecture, integration and deployment blueprint. 

• Design single and multi-agent workflows, tool calling, memory, retrieval and human-in-the-loop controls. 

• Define security, resilience, latency, cost, observability and scalability requirements. 

• Select models, cloud services, vector search and frameworks; assess build versus buy. 

• Set standards and guardrails, review designs, and partner with product, cloud and AI governance. 

• Embed AIDLC in design: stage gates, governance checkpoints and architecture decision records. 

Must-Have Skills 

• Architecture: Architecture and distributed systems; hands-on software engineering; secure cloud architecture; API, data and identity integration. 

• Agentic AI: LLM, RAG and agentic patterns; tool calling, state and memory; agent evaluation; build-versus-buy trade-offs. 

• Security (banking-critical): Least-privilege tool access; prompt-injection defence; approval gates for risky actions; audit trails, model risk and residency. 

• AIDLC (mandatory): Defines AIDLC stages and gates; evaluation and release criteria; governance checkpoints; architecture decision records. 

Good-to-Have Skills 

• LangGraph, Semantic Kernel, AutoGen. 

• Enterprise search and vector databases. 

• Event-driven systems and microservices. 

• Red-teaming and LLM observability. 

• Model governance and AI safety. 

• Disaster recovery and FinOps modelling.