Solution Architect GenAI / Agentic AI

Experience: 10+ Years

Location: PAN India

Employment Type: Full time

Work Mode: Hybrid

Job Overview

We are looking for an experienced Solution Architect GenAI / Agentic AI with 10+ years of overall IT experience and strong expertise in solution architecture, Java, Spring Boot, Python, cloud-native technologies, and modern AI architectures.

The ideal candidate will have hands-on experience designing and implementing Generative AI and Agentic AI solutions, including LLM-based applications, RAG architectures, AI agents, prompt engineering, vector databases, and enterprise AI integrations.

The candidate should be capable of translating business requirements into scalable, secure, and production-ready technology architectures while providing technical leadership to engineering teams.

Key Responsibilities
- Define and design end-to-end solution architectures for enterprise applications and AI-powered platforms.
- Architect and implement GenAI and Agentic AI solutions using modern AI frameworks and technologies.




- Design LLM-powered applications incorporating RAG, prompt engineering, vector databases, AI agents, and enterprise data sources.
- Evaluate and select appropriate AI models, frameworks, platforms, and architectural approaches based on business requirements.
- Provide technical leadership across Java, Spring Boot, Python, cloud, microservices, and AI engineering.
- Design scalable and resilient cloud-native architectures on GCP, Azure, or AWS.
- Define microservices-based architectures and integrations using REST APIs and event-driven patterns.
- Guide development teams on architecture, design principles, coding standards, performance, scalability, and security.
- Design and oversee deployment architectures using Docker, Kubernetes, and CI/CD pipelines.
- Establish best practices for integrating AI capabilities into existing enterprise applications and platforms.
- Address AI-specific considerations including security

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