Senior Technology Architect - AI/GenAI- Q3 FY 26

Infosys; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Infosys seeks a highly skilled Generative AI Engineer / Senior Technologist to design, build, deploy and evaluate end-to-end AI solutions for enterprise use cases. You will work across data ingestion, processing, retrieval and generation, leveraging LLMs, embeddings, prompts, and agentic AI patterns.

The role requires hands-on experience with modern AI frameworks, cloud-native deployment, model engineering, and a strong systems-level understanding of LLM architectures.

Qualifications

• Bachelor of Engineering is required.
• Hands-on experience with Python and LLMs.
• Experience with cloud deployment and AI frameworks.

Responsibilities

• Design and develop enterprise-grade Generative AI solutions using Python and modern AI frameworks.
• Build AI applications using LLMs, embeddings, prompts, function calling, tool usage, and agentic AI patterns.
• Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and generation use cases.
• Design end-to-end AI solutions covering data ingestion, data processing, retrieval, generation, evaluation.
• Work with Agentic AI frameworks such as CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, and Langfuse.
• Apply prompt engineering strategies to improve LLM accuracy, reliability, and usability.
• Evaluate the suitability of fine-tuning vs RAG based on business and technical requirements.
• Support LLM fine-tuning workflows including instruction tuning and supervised fine-tuning.
• Manage data preparation for fine-tuning, including train/validation splits, data quality checks, and contamination prevention.
• Deploy AI workloads on cloud platforms such as Azure, AWS, or GCP.
• Containerize AI applications using Docker and work with basic Kubernetes concepts.
• Apply model engineering best practices for scalable, reliable, and production-ready AI systems.

Skills

Python

LLMs

RAG

Agentic AI

Prompt engineering

Docker

Kubernetes

Cloud deployment

Fine-tuning

Education

Bachelor of Engineering

Tools

CrewAI

LangChain

LangGraph

LlamaIndex

AutoGen

Langfuse

Job description

• Design and develop enterprise-grade Generative AI solutions using Python and modern AI frameworks.
  
• Build AI applications using LLMs, embeddings, prompts, function calling, tool usage, and agentic AI patterns.
  
• Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and generation use cases.
  
• Design end-to-end AI solutions covering:
  o Data ingestion
  o Data processing
  o Retrieval
  o Generation
  o Evaluation
  
• Work with Agentic AI frameworks such as CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, and Langfuse.
  
• Apply prompt engineering strategies to improve LLM accuracy, reliability, and usability.
  
• Evaluate the suitability of fine-tuning vs RAG based on business and technical requirements.
  
• Support LLM fine-tuning workflows including instruction tuning and supervised fine-tuning.
  
• Manage data preparation for fine-tuning, including train/validation splits, data quality checks, and contamination prevention.
  
• Deploy AI workloads on cloud platforms such as Azure, AWS, or GCP.
  
• Containerize AI applications using Docker and work with basic Kubernetes concepts.
  
• Apply model engineering best practices for scalable, reliable, and production-ready AI systems.
  

Roles Responsibilities

We are looking for a highly skilled Generative AI Engineer / Senior Technologist with strong hands-on experience in Python, Large Language Models, RAG, Agentic AI, fine-tuning, and cloud deployment. The ideal candidate should have a deep understanding of LLM architectures at a systems level and the ability to design, build, deploy, and evaluate end-to-end AI solutions for enterprise use cases.

This role requires strong engineering capability, problem-solving skills, and practical exposure to modern AI frameworks, cloud-native deployment, and model engineering concepts.

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Educational Requirement

Bachelor of Engineering

Preferred Skills

Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai,Technology->AI-AI Engineering->MLOps,Technology->AI-AI Engineering->LLMOps

Service Line

Strategic Technology Group