Company: People Impact

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Fintech

Salary Range: ₹ 35-45 Lacs PA

We are seeking an experienced Java Solution Architect to design, define, and govern scalable, secure, and cloud-native enterprise architectures.

The ideal candidate will have strong expertise in Java and Spring technologies , proven architectural leadership, and hands-on experience with AI-Native architecture patterns , including RAG, LLMs, Agentic AI frameworks, and cloud-based AI services .

The role will involve working closely with engineering, QE, DevOps, and client teams to drive technical strategy, architecture standards, and successful delivery of enterprise solutions.

Key Responsibilities

- Design and own scalable, resilient, and cloud-native application architectures for enterprise Java platforms.
- Define and document High-Level Design (HLD) and Low-Level Design (LLD) for complex systems and applications.
- Lead architecture reviews, technical design discussions, and code reviews across development squads.
- Establish and enforce coding standards, architectural best practices, design patterns, and engineering principles.
- Provide technical leadership, mentorship, and guidance to development and QE teams.
- Collaborate with onshore client and partner teams to understand requirements, align priorities, and drive project milestones.
- Design and implement AI-Native architectures leveraging:
- Retrieval-Augmented Generation (RAG)
- Embeddings and vector-based retrieval

- LLM integrations and deployments

- Agentic AI frameworks
- AI application memory management strategies
- Leverage Azure AI and Azure OpenAI services for enterprise GenAI solutions and deployment.
- Define strategies for memory management, context handling, and knowledge retrieval in AI-powered applications.
- Drive DevOps automation, CI/CD, and deployment practices across application teams.
- Work closely with security, infrastructure,



and platform teams to ensure solutions meet enterprise security, scalability, reliability, and compliance requirements.
- Provide technical direction across multiple squads and contribute to organization-wide architecture initiatives.

Required Skills & Experience

- 9+ years of overall software engineering experience, with 13+ years preferred.
- 3–5+ years of experience in a Solution/Technical Architect role, designing both on-premises and cloud-based systems.
- Expert-level knowledge of:

- Java

- Spring Boot

- REST APIs

- Spring Batch
- Strong experience in microservices architecture, distributed systems, and enterprise application design.
- 3+ years of hands-on experience with AI-Native architecture, including:

- RAG

- LLMs

- Embeddings

- Agentic frameworks

- GenAI integrations

- AI application memory management

- Cloud AI services
- Hands-on experience with Azure OpenAI, GenAI solution development, and LLM/model fine-tuning or customization.
- Strong understanding of HLD/LLD, architecture patterns, design principles, and technical documentation.
- Experience with DevOps and engineering tools, including Maven, Git, CI/CD, and Autosys.
- Good understanding of cloud architecture, security, scalability, and deployment models.
- Valuable to have experience with RPM packaging and Linux environments.
- Excellent communication and stakeholder-management skills, with the ability to interact effectively with both technical and non-technical stakeholders.
- Ability to act as a Subject Matter Expert (SME) across multiple IS disciplines, including business solutions, systems development, security, and technology architecture.

Preferred Profile

- Candidates with strong AI-Native Solution Architecture experience will be highly preferred, particularly those who have hands-on expertise in RAG, LLMs, Agentic AI frameworks, Azure OpenAI, embeddings, and enterprise GenAI solutions.
- The ideal candidate should combine deep Java architecture expertise with modern AI and cloud capabilities and be comfortable driving technical decisions across large, complex enterprise environments.

📌 Principal Engineer (Hyderabad)
🏢 Sourcingxpress
📍 Hyderabad