Role Overview :

We are looking for a Solution Architect with 10+ years of experience in IT, specifically in Generative AI, Agentic AI, Java, Python, and Cloud Platforms (GCP/Azure/AWS). You will be responsible for designing and delivering scalable, secure, and enterprise-grade AI solutions leveraging LLMs, RAG frameworks, AI agents, and cloud-native technologies.

Tech Stack :

- Java, Spring Boot, Python

- GenAI/Agentic AI frameworks : LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel

- LLMs, RAG, Prompt Engineering, Vector Databases, AI integrations

- Cloud : GCP, Azure, or AWS and cloud-native architectures

- Microservices, REST APIs, Docker, Kubernetes, CI/CD practices

Key Responsibilities :

- Define end-to-end architecture for GenAI/Agentic AI solutions.

- Design and implement scalable applications using Java, Python, Microservices, and Cloud technologies.

- Architect AI-powered solutions leveraging LLMs, RAG, AI Agents, and orchestration frameworks.

- Collaborate with business and technical stakeholders to translate requirements into innovative solutions.

- Lead technical design reviews, architecture governance, and proof-of-concepts.

- Ensure adherence to security, performance, scalability, and compliance standards.

- Provide technical leadership and mentor development teams.

Preferred Skills :

- Experience with Google Vertex AI or Azure OpenAI, OpenAI APIs, Amazon Bedrock.

- Cloud certifications (AWS/Azure/GCP) and TOGAF certification are preferred.

Education :

- BE, BTech, MCA, or equivalent degree in Computer Science, IT, or a related field.