Senior AI Engineer_STG

Infosys; Hyderabad, Chennai, Bengaluru; Hybrid; INR 4,000,000 - 9,000,000; Full time

Job summary

Infosys is seeking an AI/ML Solution Architect / Senior AI Engineer to design, develop, and deploy cutting-edge AI solutions for enterprise-scale applications across Pan India.

The role involves building ML/DL pipelines, Generative AI with LLMs, RAG frameworks, and API-driven deployment, while ensuring scalable, secure AI systems and collaboration with cross-functional teams.

Qualifications

• 8–15 years of hands-on AI/ML architecture experience.
• Proficient in Python, ML/DL and AI engineering.
• Hands-on with LLMs, Generative AI, RAG, LangChain/LlamaIndex, vector databases and prompt engineering.
• Experience with MLOps tools and cloud platforms (Azure, AWS, GCP).
• Knowledge of model deployment, monitoring, and scalable AI system architecture.

Responsibilities

• Design, develop, and deploy AI/ML models for business-critical apps.
• Build and optimize ML/DL pipelines.
• Develop Generative AI solutions using LLMs (GPT, Llama, Claude, Gemini).
• Implement RAG frameworks for enterprise knowledge mgmt.
• Fine-tune and optimize foundation models with domain data.
• Develop AI-powered chatbots, virtual assistants, recommendations, and automation.
• Create APIs and microservices for AI deployment.
• Build and maintain MLOps pipelines for training, monitoring, and deployment.
• Optimize AI solutions for performance, latency, and cost.
• Collaborate with PMs, Data Engineers, and Engineers to deliver AI outcomes.
• Stay updated on emerging AI tech and governance and Responsible AI standards.

Skills

Python

Machine Learning

Deep Learning

AI Engineering

LLMs

Generative AI

RAG

LangChain

LlamaIndex

Vector DB

APIs

MLOps

Azure

AWS

GCP

Tools

LangChain

LlamaIndex

Vector Databases

APIs

MLOps tools

Job description

AI/ML Solution Architect / Senior AI Engineer

Experience: 8-15 Years
Location: Pan India

We are seeking a highly skilled AI/ML Solution Architect / Senior AI Engineer to design, develop, and deploy cutting-edge AI solutions for enterprise-scale applications.

Key Responsibilities

• Design, develop, and deploy AI/ML models for business-critical applications.


• Build and optimize Machine Learning and Deep Learning pipelines.


• Develop Generative AI solutions using LLMs such as GPT, Llama, Claude, and Gemini.


• Implement Retrieval-Augmented Generation (RAG) frameworks for enterprise knowledge management.


• Fine-tune, evaluate, and optimize foundation models using domain-specific datasets.


• Develop AI-powered chatbots, virtual assistants, recommendation engines, and intelligent automation solutions.


• Create APIs and microservices for AI model deployment and integration.


• Build and maintain MLOps pipelines for model training, monitoring, versioning, and deployment.


• Optimize AI solutions for performance, scalability, latency, and cost efficiency.


• Collaborate with Product Managers, Data Engineers, Software Developers, and Business Stakeholders to deliver AI-driven outcomes.


• Stay updated on emerging AI technologies, frameworks, and industry trends.


• Ensure AI solutions comply with security, governance, compliance, and Responsible AI standards.

Required Skills

• Strong experience in Python, Machine Learning, Deep Learning, and AI Engineering.


• Hands-on expertise with LLMs, Generative AI, RAG, LangChain/LlamaIndex, Vector Databases, and Prompt Engineering.


• Experience with MLOps tools and cloud platforms (Azure, AWS, GCP).


• Knowledge of model deployment, monitoring, and AI system architecture.


• Strong understanding of API development, microservices, and scalable AI solutions.