Gen AI Architect

Aspire Systems; Ernakulam, Chennai District, Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Aspire Systems is seeking an innovative Gen AI & Software Architect to bridge core software engineering with modern generative AI. You will define blueprints for scalable, secure enterprise applications powered by AI agents.

Lead from the front, set best practices for full-stack and agent development, design AI topologies and RAG frameworks, and orchestrate foundation models. Collaborate with product and data science teams to drive AI-native culture.

Qualifications

• Proven experience designing large-scale AI-enabled software systems.
• Strong leadership and cross-functional collaboration.
• Hands-on with cloud-native architectures and security.

Responsibilities

• Design robust, scalable system architectures for core enterprise platforms with microservices and cloud-native infrastructure.
• Define CI/CD pipelines, API integrations, and DevOps best practices across distributed teams.
• Architect end-to-end generative AI systems, including RAG frameworks and multi-agent workflows.
• Mentor UI and backend engineers, partner with product teams to drive AI roadmaps.

Skills

Gen AI

Software architecture

Cloud-native

Microservices

Leadership

Tools

LangGraph

Microsoft Agent Framework

RAG frameworks

Job description

We are seeking an innovative and visionary Gen AI & Software Architect to bridge the gap between core software engineering and modern generative AI.

You will define the technical blueprints for our next-generation enterprise applications, ensuring they are scalable, highly secure, and powered by intelligent AI agents.

You will lead from the front, setting best practices for both full-stack software development and Agent development

Key Responsibilities

1. Software Architecture & Engineering : Design robust, scalable, and secure system architectures for our core enterprise platforms, focusing on microservices and cloud-native infrastructure. Establish engineering guardrails, coding standards, and best practices across distributed teams. Define CI/CD pipelines, API-driven integrations, and state-of-the-art DevOps practices.

2. Gen AI & Agentic System: Design Architect end-to-end generative AI systems, including RAG (Retrieval-Augmented Generation) frameworks and multi-agent workflows. Select, fine-tune, and orchestrate Foundation Models (LLMs) from leading providers (e.g., OpenAI, Anthropic, Gemini).

Define AI topologies like tool routing, memory strategies, and semantic search integration using frameworks such as LangGraph or Microsoft Agent Framework

4. Technical Leadership & Mentorship Partner with product and business stakeholders to turn strategic AI concepts into actionable, high-impact engineering roadmaps.

Mentor and upskill UI developers, backend engineers, and data scientists to build a strong AI-native culture. Frontend for customer and prospect calls Contribute to whitepaper and marketing content preparation