Solution Architect

SourcingXPress; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

SourcingXPress is looking for a Java Solution Architect specialized in AI Native Architecture to lead the design of scalable enterprise applications. The ideal candidate will have expertise in Java, Spring Boot, and microservices, along with experience in AI-native solutions such as RAG and LLM integrations.

This role offers the chance to drive AI innovation and mentor teams, ensuring best practices in architecture and engineering excellence.

Qualifications

• Expertise in Java, Spring Boot, and microservices.
• Experience with AI-native solutions including RAG, LLMs.
• Strong technical leadership and stakeholder management skills.

Responsibilities

• Design and govern scalable enterprise architectures using Java and microservices.
• Create and maintain HLD and LLD documentation.
• Lead architecture reviews and enforce best practices.
• Collaborate with clients and stakeholders to align priorities.
• Design AI-native solutions including RAG and LLM integrations.
• Utilise Azure AI services for deployment and integration.
• Conduct code reviews and drive engineering excellence.

Skills

Java

Spring Boot

Microservices

AI-native solutions

Azure AI services

Job description

Java Solution Architect – AI Native Architecture

We are seeking a Java solution architect to lead the design of scalable, cloud‑native enterprise applications. The ideal candidate will have expertise in Java, Spring Boot, and microservices, along with experience in AI‑native solutions, including RAG, LLMs, agentic AI frameworks, and Azure AI services.

This role requires strong technical leadership, stakeholder management, and the ability to mentor teams while driving AI innovation.

Company: People Impact

LinkedIn: Visit LinkedIn

Business Type: Consulting Firm

Company Type: Product & Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Information Technology

Salary Range: ₹ 25-40 Lacs PA

Key Responsibilities

• Design and govern scalable enterprise architectures using Java and microservices.
• Create and maintain HLD and LLD documentation.
• Lead architecture reviews and enforce best practices.
• Collaborate with clients and stakeholders to align priorities and delivery goals.
• Design AI‑native solutions
  • RAG
  • Vector embeddings and semantic search
  • Agentic AI frameworks
  • LLM integrations
• Utilise Azure AI Services for AI deployment and integration.
• Conduct code reviews and drive engineering excellence.