Solution Architect- Fullstack and AI

Quess Corp Limited; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Quess Corp Limited is recruiting a Solution Architect – Full Stack & AI to own end-to-end enterprise solution delivery. The role combines hands-on architectural work with leadership across UI, backend, and AI-powered features.

You will prototype AI/LLM-powered solutions, design scalable architectures, and guide engineering teams through deployment and stabilization in a customer-facing environment.

Qualifications

• Hands-on architecture experience in full stack development and technical architecture.
• Proven ability to deliver enterprise integrations and AI-powered features at scale.
• Experience owning end-to-end solution delivery from discovery to production stabilization.

Responsibilities

• Design scalable end-to-end solution architecture for enterprise needs.
• Build/review frontend and backend components and APIs.
• Prototype AI/LLM-powered solutions and review code/architecture.

Skills

REST APIs

Microservices

Databases (SQL/NoSQL)

Docker

CI/CD

Generative AI

LLMs

AI-powered apps

Prompt Engineering

Tool Calling

Agentic Workflows

Tools

Docker

CI/CD tooling

APIs

Job description

We are currently hiring for a Solution Architect – Full Stack & AI role with a leading organization.

Role: Solution Architect – Full Stack & AI

Experience: Relevant experience in Full Stack Development / Technical Architecture / Solution Architecture

Work Mode: [ WFO]

Experience: 10 +

Role Overview

The position involves owning enterprise solution delivery right from requirement discovery and architecture design through development, integration, deployment and production stabilization. This is a hands-on architecture role requiring strong experience across full-stack development, enterprise integrations and AI-powered product features.

Key Technical Skills

• REST APIs, Microservices & Enterprise Integrations
• SQL / NoSQL Databases
• Docker, CI/CD & Production Deployment
• Generative AI / LLMs
• RAG, Embeddings, Vector Databases & Semantic Search
• Prompt Engineering, Tool Calling & Agentic Workflows
• AI-powered applications such as Conversational AI, Copilots, Document Processing and Intelligent Search

What the role involves

• Designing scalable end-to-end solution architecture
• Building/reviewing frontend and backend components
• Creating APIs and integration services
• Prototyping AI/LLM-powered solutions
• Reviewing code and technical architecture
• Debugging issues across the application stack
• Guiding engineering teams through implementation
• Working directly with customers and enterprise technology teams
• Taking ownership through production deployment and stabilization