Solution Architect- Fullstack and AI

Quess Corp Limited; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Quess Corp Limited in Bengaluru, India is hiring a Solution Architect – Full Stack & AI to own enterprise solution delivery from requirements through deployment and production stabilization.

The role demands hands-on experience across full-stack development, integrations, and AI-powered features, with leadership over frontend and backend components, API design, prototyping, and guiding engineering teams while collaborating with customers.

Qualifications

• Hands-on experience in architecture and delivery of complex enterprise solutions.
• Experience in AI-powered features and integration of AI components into applications.
• Ability to engage with customers and enterprise technology teams to drive architecture decisions.

Responsibilities

• Design scalable end-to-end solution architectures.
• Build/review frontend and backend components.
• Create APIs and integration services.
• Prototype AI/LLM-powered solutions.
• Review code and technical architecture.
• Debug issues across the stack.
• Guide engineering teams through implementation.
• Work directly with customers and enterprise tech teams.
• Take ownership through production deployment and stabilization.

Skills

APIs & Microservices

AI/LLM integration

Solution architecture

Enterprise integrations

Full-stack design

Prompt engineering

Deployment & CI/CD

Tools

Docker

CI/CD

Vector Databases

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