Principal Architect - AI & Full Stack Solutions IRC300664

Description

Job Responsibilities

• B.E.(Bachelor of Engineering)/B Tech.(Bachelor of Technologies)/M Tech preferably in Computer Science with 15+ years of experience in software engineering, enterprise product architecture, platform engineering, or solution architecture, with Technical Fluency
• Deep, hands-on fluency with the modern AI stack. You must be able to build, evaluate, and debug AI development tools, agentic frameworks, and IDE-based assistants.
• AI first architect with experience in having designed and deployed AI first applications and platforms (Agentic architecture) into production. Must have worked in AIDLC or Autonomous delivery loop.
• Architect Intent-Driven Workflows: Design and deploy agentic AI workflows tailored to complex financial domain logic, ensuring systems can reliably process high-stakes data (e.g., automated credit underwriting analysis, regulatory compliance checking, or algorithmic fraud intent mapping).
• Context-Aware RAG Pipelines: Build and optimize domain-specific Retrieval-Augmented Generation (RAG) and vector database architectures that ingest massive, disparate financial data sources (e.g., SEC filings, transaction ledgers, legacy ERP schemas) to feed localized AI agents.
• Agile Mindset: Practical experience working in Agile environments and familiarity with Jira for tracking and delivery is beneficial.
• Accelerate Product Feature Delivery: Partner directly with the client's product and engineering leadership to replace traditional, bottlenecked sprint cycles with autonomous delivery loops that generate domain-compliant code, comprehensive unit tests, and validation artifacts.
• Measure Engineering Velocity: Define, track, and report on hard product metrics resulting from AI implementation, such as reduction in feature-to-production cycle time, code review velocity, and coverage of automated edge-case test generation.
• Translate Intent to Architecture: Map high-level business goals from client Product Managers into technical AI specifications, ensuring the AI agents accurately understand product requirements and domain constraints.

Technical Skills

Devlopement Experience with AI

• Hands on in Retrieval Augmented Generation (RAG), Vector Databases, Evaluation Frameworks, Prompt Engineering, Tool Calling, Function Calling, Multi-agent orchestration, AI Observability
• Direct experience with tools/frameworks like Claude Code, Cursor, Windsurf, LangChain, AutoGen, LlamaIndex, Semantic Kernel, and vector databases.

Front-End Development

• Developing features for an industry-leading SaaS product using modern frontend

technologies.

• Building and implementing top-notch user interfaces using JavaScript and the Angular

framework.

• Develop user interfaces for web applications using Angular 17+ and related web technologies (HTML5, CSS3, TypeScript).
• Should be strong in the NgRx (redux) concepts and implementation.
• Should be strong in all angular components, lifecycle methods and very strong in the OOPS and design patterns.
• Experience with Unit testing and end-to-end testing frameworks (e.g Jasmine, Karma)

Back-End development

• Develop server-side logic using node.js or Java for scalable web applications.
• Design and implement RESTful APIs
• Strong debugging skills and troubleshooting skills
• Strong in Rate Limiter implementation and node service deployment in any servers.
• Swagger file creation, postman collection creation.
• Should strong in any DB (Mysql, Postgres, MongoDB)

Good to have

• CI/CD knowledge.
• Code Optimization: Write clean, maintainable, and efficient code while following best

practices and coding standards.

• Responsive Design: Ensure that web applications are fully responsive and provide an

excellent user experience across various devices and screen sizes.

• Integration: Collaborate with back-end developers to integrate front-end components with

server-side logic, APIs, and databases.

• Version Control: Use version control systems (e.g., Git) to manage codebase and collaborate

effectively with team members.

o Should be experienced in creating feature branches and merge request concepts.

o Good to know how to create feature tags and play with multiple branches and tagging features.

Additional Skills

• Excellence in Software Design, Architecture principles and Software development Life Cycle
• Experience and knowledge of algorithms and data structures, OOAD, databases
• Proactive, motivated, works well in team and should be a good communicator
• Good knowledge of Linux would be an added advantage
• Version control and GIT/Gerrit/Maven knowledge is added advantage
• Structured and meticulous in planning and problem solving
• Open, flexible and adaptable in outlook and ways of working
• Strong collaborative team building skills
• Strong networking skills
• Exposure to multicultural experiences a definite advantage
• Core Competencies

o Product Development Knowledge

o Product Life Cycle Management Knowledge

o Business Understanding

o Lean and Agile Knowledge and Skills

o Working with People

o Relating and Networking

o Adapting and Responding to Change

o Creating and Innovating

o Delivering Results and Meeting Customer Expectations

o Planning and Organizing

Requirements

Job Responsibilities

• B.E.(Bachelor of Engineering)/B Tech.(Bachelor of Technologies)/M Tech preferably in Computer Science with 15+ years of experience in software engineering, enterprise product architecture, platform engineering, or solution architecture, with Technical Fluency
• Deep, hands-on fluency with the modern AI stack. You must be able to build, evaluate, and debug AI development tools, agentic frameworks, and IDE-based assistants.
• AI first architect with experience in having designed and deployed AI first applications and platforms (Agentic architecture) into production. Must have worked in AIDLC or Autonomous delivery loop.
• Architect Intent-Driven Workflows: Design and deploy agentic AI workflows tailored to complex financial doma