Architect - GEN AI (AWS / Azure)

SSJ Solutions; Hyderabad, Pune District, Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

SSJ Solutions is seeking a highly skilled GenAI and Agentic AI Architect with extensive hands-on experience in AWS and Azure ecosystems. The role focuses on architecting scalable, secure GenAI systems, coordinating multi-agent patterns, and guiding complex implementations.

You will define reference architectures, build end-to-end solutions, and drive enterprise adoption of agentic AI patterns. You will lead design and development across cloud AI services, vector databases, and Python-based

Qualifications

• 14+ years of experience in Data science, GenAI and NLP technologies.
• Hands-on experience on Agentic AI frameworks LangGraph, Langchain, LlamaIndex, MCP.
• Experience selecting and using paid and open source LLMs, VLM, SLM, etc.
• Expert design and develop solutions using RAG, Knowledge Graph RAG, agents, MCP.
• Experience with AWS/Azure ecosystem; Kubernetes and serverless deployments; Observability.
• Ability to develop Python code, set standards and train developers.

Responsibilities

• Guide customers and design solutions using architecture principles.
• Hands-on work on GenAI architectures and agentic AI implementations.
• Architect scalable, secure GenAI solutions on AWS and Azure.
• Lead multi-agent systems, LLM orchestration and vector databases.
• Handle large unstructured data and data lakes; ensure data quality.

Skills

Data science

GenAI

NLP

Agentic AI

LangGraph

Langchain

LlamaIndex

MCP

Tools

AWS Bedrock

Azure AI

Kubernetes

Langgraph/CrewAI

Job description

• Must have 14+ years of experience working in Data science, GenAI and NLP technologies.
• Experts in guiding customer, solution design using architecture principles
• Must have hands-on experience on Agentic AI frameworks LangGraph, Langchain, LlamaIndex, MCP etc.
• Experience in selecting and using paid (OpenAI on Azure, Bedrock in AWS) and open source LLMs, VLM, SLM etc.
• Expert design and develop solutions using RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, MCP etc.
• Experience in handling large unstructured (multiple file formats) and structured (data Lake) data
• DAR for applying best solution for problem statements
• Experience with hands-on Python programming language in a must. Should know other languages too
• Ability to develop Python code as needed, set standards and train the Developers based on business needs.
• Enforce reusable framework, component development and sharing across solutions
• Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments. Experience in Observability

For AWS

Looking for a highly skilled GenAI and Agentic AI Architect with deep hands-on expertise across AWS AI/ML services, multi-agent systems, LLM orchestration, and cloud-native engineering. This role centers on architecting and delivering scalable, secure, production-grade GenAI solutions using AWS AgentCore, AWS Bedrock, AWS Strands SDK, vector databases, and Python-based agentic AI solutions. You will define reference architectures, code solutions, lead complex implementations, and drive adoption of advanced GenAI and agentic patterns across enterprise systems.

For Azure

Looking for a highly skilled GenAI and Agentic AI Architect with deep hands-on expertise across Microsoft Azures AI/ML ecosystem, multi-agent frameworks, LLM orchestration, and cloud-native engineering. This role focuses on architecting and delivering scalable, secure, production-grade GenAI systems leveraging Azure AI Foundry, Azure OpenAI, Azure Agents, Microsoft Agent Framework, Langgraph/CrewAI, vector databases, and Python-based agentic AI solutions. You will define reference architectures, build end-to-end solutions, lead complex implementations, and drive enterprise adoption of advanced GenAI and multi-agent patterns.