Role Description and Responsibilities

• AI & Data Governance Solutions Design & Development

o Application Architecture & Full-Stack Development: Architect and develop comprehensive applications supporting governance workflows and automation platforms

o Data Architecture: Design robust data models and architectures supporting governance data flows, inventory management, and risk assessment processes

o Platform Integration: Build and maintain integrations with IT/data/model inventory platforms and governance toolsets

o Cloud Solutions: Develop and deploy solutions on AWS cloud infrastructure, utilizing services supporting platforms for scalability and cost

o User Experience Design: Create intuitive user interfaces and dashboards that enhance governance workflow efficiency and user adoption

Qualification & Core Skills requirement:

• 5-10 years of progressive experience in application design, architecture, and full-stack development

• 3+ years designing and implementing enterprise-scale applications

• Proven track record leading technical workstreams and delivering complex solutions from concept to production

• Experience in financial services or highly regulated industries preferred

• Experience with AI governance frameworks and responsible AI principles

• Knowledge of financial services regulatory requirements (model risk management, data privacy)

• AWS or cloud architecture certifications

• Experience with Agile/Scrum methodologies

Key Responsibilities

• Architect, Design, develop, and maintain scalable software solutions

• Write clean, efficient, and well-documented code

• Collaborate with cross-functional teams to define and implement new features

• Participate in code reviews and provide constructive feedback





• Troubleshoot and debug applications

• Contribute to technical documentation and design discussions

• Support continuous integration and deployment processes.

Technical Requirements

Core Development & Architecture

• Strong expertise in application architecture design patterns (microservices, event-driven, serverless)

• Proficiency in multiple programming languages (Python, Java, JavaScript/TypeScript)

• Deep understanding of SDLC, DevOps practices, and CI/CD pipelines

• Experience with containerization and orchestration (Docker, Kubernetes)

Cloud & Infrastructure

• Extensive experience with AWS cloud services (Lambda, S3, RDS, API Gateway, CloudFormation)

• Hands-on experience designing and deploying cloud-native applications

• Understanding of cloud security, IAM, and compliance frameworks

Data & AI Capabilities

• Strong data architecture and modeling skills with experience designing scalable data solutions

• Proficiency in SQL and NoSQL databases (PostgreSQL, DynamoDB, MongoDB)

• Practical experience with ML/AI lifecycle management including model deployment, monitoring, and governance

• Understanding of AI/ML concepts and their application in controls design and governance frameworks

• Experience with AI-assisted coding tools (GitHub Copilot, Claude Code, Cursor)

Analytics & Visualization

• Robust analytical skills with ability to translate complex data into actionable insights

• Proficiency in Python for data processing, automation, and application development

• Experience with data visualization tools (Power BI, Tableau) for dashboards and reports

• Ability to design real-time monitoring and alerting solutions

Skills:- Artificial Intelligence (AI)

📌 AI & Data Governance Solutions Design & Development (Mumbai)
🏢 Nam info
📍 Mumbai