AI Architect

Infosys; Kolkata District, Chennai, Bengaluru; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Infosys is seeking an experienced AI/GenAI Engineer or Architect to design, build, and deploy enterprise-scale AI and Generative AI solutions. The role requires hands-on AI/ML development, LLMs, and governance across Azure/AWS/GCP.

Responsibilities include data workflows, model training, evaluation, deployment, monitoring, and ensuring Responsible AI and security compliance. Architect-level roadmap and standards define the AI strategy.

Qualifications

• Hands-on experience in AI/ML development, LLMs, RAG architectures, and AI governance.
• Experience designing and deploying enterprise-scale AI solutions on cloud platforms.
• Strong Python development and API/service delivery capabilities.
• Ability to design prompt engineering, embeddings, vector search, and retrieval systems.
• Knowledge of Responsible AI, security, privacy, governance and compliance controls.
• Experience with MLOps/LLMOps and model lifecycle management.

Responsibilities

• Design and implement AI/ML and GenAI solutions on Azure, AWS, or GCP.
• Build end-to-end workflows for data prep, model training, evaluation, deployment, and monitoring.
• Develop NLP, LLM, RAG, Agentic AI, and Conversational AI apps.
• Design prompt engineering, embeddings, vector search, and retrieval systems.
• Implement MLOps/LLMOps practices for model lifecycle management.
• Develop scalable Python-based APIs and AI services.
• Ensure Responsible AI, security, privacy, governance, and compliance controls.
• Define enterprise AI strategy, architecture standards, and adoption roadmaps (Architect role).

Skills

AI

ML

GenAI

LLMs

Python

NLP

RAG

Vector Search

Azure/AWS/GCP

MLOps/LLMOps

Responsible AI

Enterprise Architecture

API Development

Tools

Azure OpenAI

Azure ML

Bedrock

SageMaker

Vertex AI

LangChain

LlamaIndex

Semantic Kernel

Pinecone

Weaviate

pgvector

MLflow

PyTorch

TensorFlow

Scikit-learn

Job description

Job Description

We are seeking an experienced AI / Generative AI Engineer or Architect to design, build, and deploy enterprise-scale AI, Machine Learning, and Generative AI solutions. The ideal candidate should have hands‑on experience in AI/ML development, LLMs, RAG architectures, cloud platforms, Python, and AI governance.

Key Responsibilities

• Design and implement AI/ML and GenAI solutions on Azure, AWS, or GCP.
• Build end-to-end workflows for data preparation, model training, evaluation, deployment, and monitoring.
• Develop NLP, LLM, RAG, Agentic AI, and Conversational AI applications.
• Design prompt engineering, embeddings, vector search, and retrieval systems.
• Implement MLOps/LLMOps practices for model lifecycle management.
• Develop scalable Python-based APIs and AI services.
• Ensure Responsible AI, security, privacy, governance, and compliance controls.
• Define enterprise AI strategy, architecture standards, and adoption roadmaps (Architect role).

Mandatory Skills

• Artificial Intelligence (AI)
• Machine Learning (ML)
• Generative AI (GenAI)
• Large Language Models (LLMs)
• Python
• NLP
• Retrieval-Augmented Generation (RAG)
• Vector Databases / Vector Search
• Azure / AWS / GCP
• MLOps / LLMOps
• Responsible AI / AI Governance
• Enterprise Architecture
• API Development & Integration

Preferred Technologies

• Azure OpenAI, Azure AI Foundry, Azure ML
• Amazon Bedrock, SageMaker
• Vertex AI, Gemini
• LangChain, LlamaIndex, Semantic Kernel
• Pinecone, Weaviate, Azure AI Search, pgvector
• MLflow
• PyTorch, TensorFlow, Scikit-learn