Company Overview

As a leading global qualified services firm, we sit at the intersection of strategy, technology, and industry expertise. Our Advisory practice partners with the worlds most influential financial institutions to solve their most complex challenges. We are currently expanding our AI & Data Engineering powerhouse to support Global Capability Centers (GCCs) in the Banking, Financial Services (BFS) sector. We don’t just advise; we build, deploy, and scale the future of intelligent finance.

Role Context

We are seeking a Senior Associate to work for our legacy modernization and Agentic AI transformation proposition for Financial Services GCC clients. This is a hybrid advisor role: you will design, build and deploy the technical solution for legacy mainframe modernization, work to create the proposition for client, and mentor other team members.

Key Responsibilities

- Rapid Prototyping & Deployment: Design and build production-ready legacy mainframe modernization solution.
- Client Integration: Work on-site at client GCCs to integrate AI solutions into their environment.
- Legacy mainframe modernization: Design and build the core migration engine leveraging LLMs, RAG, MCP, and static code analysis tools for legacy transformation in client environment.
- Agentic AI & Logic Extraction: Architect multi-agent systems with human-in-the-loop controls to reverse-engineer complex, undocumented business rules from legacy codebases with high fidelity.
- Target State Design: Architect the output patterns so solutions generate secure, domain-driven modern microservices rather than line-by-line procedural syntax translations.
- Ecosystem Integration: Ensure generated solutions integrate smoothly with enterprise DevSecOps pipelines and meet strict financial regulatory compliance standards.




- Team & Practice Leadership: Mentor junior developers, guide technical decision-making, and ensure smooth handover to clients.

Technical Qualifications Legacy Domain Knowledge: Strong grounding in mainframe environments (z/OS, CICS, JCL) and languages like COBOL, AS-400 with experience in AST parsing, static code analysis, or compiler-based migration approaches.

Generative AI & DevOps

- Deep experience with Large Language Models (LLMs) including GPT-4, Claude, and Llama, with a focus on fine-tuning and prompt engineering, guardrails.
- Proven ability to build Autonomous Agents and multi-agent orchestrations using frameworks like LangChain, LangGraph, CrewAI, or AutoGen.
- Expertise in building and optimizing RAG pipelines using Vector Databases such as Pinecone, Weaviate, or Milvus.
- Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow), MCP integration.
- Experience designing "human-in-the-loop" systems for complex decision-making processes.
- Experience with API design and integration (REST, GraphQL) to connect AI agents with core banking systems.
- Strong hands-on experience with Azure or AWS or GCP, including containerization, CI/CD, Kubernetes, Helm charts and production deployment of scalable AI applications.

Domain Qualifications: BFSI

- Experience working with core banking systems, payment gateways, or high-throughput financial ledgers, with working knowledge of BFSI regulatory and compliance considerations. Expert-level knowledge of handling PII (Personally Identifiable Information) and implementing data masking within AI workflows.

Leadership & Communication: Strong stakeholder communication skills with the ability to mentor engineers and translate business goals into scalable, measurable AI solutions. Also ability to translate business requirement to technical implementation.

📌 Legacy modernization Engineer (Bengaluru)
🏢 PwC India
📍 Bengaluru