: Solution Designer – AI-Led Mainframe Modernization

Experience: 5–7 Years

Location: Chennai / Noida / Pune / Hyderabad

Domain: Banking & Financial Services | Generative AI | Cloud Modernization | Data Architecture

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About Intellect Design Arena

Intellect Design Arena is a global leader in Financial Technology, serving over 270+ banking and financial institutions across 57 countries. Powered by our First Principles Thinking and Design Thinking methodology, we build composable, cloud-native, and AI-first solutions across Corporate Banking , Retail Banking, Treasury and Insurance & AI.

Role Overview

We are looking for a high-performing Solution Designer to join our Core Modernization Practice. In this role, you will lead high-impact Mainframe Exit and Legacy Modernization programs for tier-1 global banks.

By integrating cloud-native architecture, enterprise Data Lakehouses, and Generative AI / RAG frameworks , you will design target-state architectures that extract business rules from legacy COBOL/JCL systems, automate data migration with zero data loss, and deliver scalable, auditable platform transformations.

Key Responsibilities

Architecture & Cloud Modernization

- Design end-to-end cloud-native modernization solutions for core banking, treasury, and transaction banking platforms on AWS, Azure, Snowflake, and Databricks .
- Architect enterprise data models, multi-tenant Data Lakehouses, and high-throughput ELT/ETL pipelines for seamless mainframe data extraction and streaming.
- Optimize large-scale data processing performance using Snowpark, Delta Lake, PySpark, and AWS/Azure native services .





AI-Powered Transformation Frameworks
- Design and implement AI solution accelerators utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to decipher legacy codebases (COBOL, JCL, VSAM), automate business-rule extraction, and accelerate discovery phases.
- Build enterprise AI knowledge assistants that enable domain architects and business analysts to query legacy and modernized target-state data models using natural language.

Data Integrity & Governance
- Lead enterprise-grade data migration streams with robust automated reconciliation engines using row-count validation, checksum verification, and complex business-rule reconciliation to achieve 100% data fidelity.
- Enforce design integrity, security protocols, audit trails, and data governance across multi-cloud environments in compliance with global financial regulations (e.g., GDPR, RBI, OCC guidelines).

Delivery & Stakeholder Collaboration
- Collaborate with bank CTOs, enterprise architects, and product engineering teams to translate complex legacy workflows into composable microservices and cloud event streams.
- Define technical delivery roadmaps, solution architecture blueprints, and engineering standards for cross-functional agile teams.





Technical & Functional Skills

Category

Skills & Technologies

Cloud & Data Platforms

Snowflake, AWS (Glue, S3, Lambda, Redshift, QuickSight), Azure (Data Factory, Synapse, Analysis Services), Databricks

Programming & Processing

Python, Advanced SQL, PySpark, Snowpark

Data Architecture

Enterprise Data Modeling, Lakehouse Design, Delta Lake, High-Volume ELT/ETL, Mainframe Data Extraction (VSAM, DB2, EBCDIC decoding)

AI & Analytics

LLMs, RAG Architectures, Vector Databases, LangChain/LlamaIndex, Power BI, Tableau, AWS QuickSight

Data Quality & Reconciliation

Automated Reconciliation Frameworks, Checksum Verification, Business Rule Validation

Preferred Experience

- Direct experience in migrating high-volume financial data streams (Payments, Core Banking, Treasury, or Trade Finance) off legacy Mainframes.
- Proven track record of applying Generative AI/LLMs to enterprise engineering problems (e.g., COBOL-to-Java translation analysis, automated documentation).
- Hands-on involvement in multi-tenant, cloud-native deployments for global financial institutions.

What Success Looks Like at Intellect
- Acceleration: Shorten discovery and legacy code analysis timelines by 30–40% through AI/RAG-driven accelerators.
- Fidelity: Guarantee 100% data accuracy and zero financial drift during phase-by-phase cutovers using automated reconciliation frameworks.
- Performance: Deliver target-state architectures that improve query performance, lower processing latency, and optimize cloud consumption costs for client banks

📌 Solutions Architect (Chennai)
🏢 Intellect Design Arena
📍 Chennai