Sr Agentic AI Engineer

IQVIA; Ernakulam; On-site; INR 150,000 - 350,000; Full time

Job summary

IQVIA India is seeking an AI/GenAI engineer to design and deliver cloud-based AI solutions, build LLM-powered applications, and develop multi-agent systems using LangChain and LangGraph.

This role focuses on secure orchestration, memory management, governance, prompt engineering, and reliable deployments on Azure and AWS with CI/CD practices, ensuring scalable, observable AI systems across business lines.

Qualifications

• Design and deliver end-to-end AI, GenAI, and automation solutions on cloud platforms.

Responsibilities

• Design and deliver end-to-end AI, GenAI, and automation solutions on cloud platforms.
• Build LLM-powered applications, RAG pipelines, and multi-agent systems using LangChain and LangGraph.
• Develop secure AI agents with orchestration, memory, validation workflows, and governance controls.
• Optimize AI performance through prompt engineering, context management, and automation frameworks.
• Deploy and manage scalable solutions on Azure/AWS using CI/CD best practices.
• Monitor, evaluate, and enhance AI systems while collaborating with cross-functional teams to drive adoption and business impact.

Skills

Python development

Generative AI

LLMs

Agentic AI

Azure

AWS

Backend services & APIs

CI/CD & security

LangChain

LangGraph

RAG architectures

Embeddings & vector databases

Prompt engineering

Education

BTech/BE/MTech/ME/MCA

Tools

Azure

AWS

LangChain

LangGraph

MCP

A2A

CI/CD tooling

APIs

Vector databases

Job description

Must Have Skills: Agentic AI, Python, LLM, Cloud

Key Responsibilities:

• Design and deliver end-to-end AI, GenAI, and automation solutions on cloud platforms.
• Build LLM-powered applications, RAG pipelines, and multi-agent systems using frameworks such as LangChain and LangGraph.
• Develop secure AI agents with orchestration, memory, validation workflows, and governance controls.
• Optimize AI performance through prompt engineering, context management, and automation frameworks.
• Deploy and manage scalable solutions on Azure/AWS using CI/CD best practices.
• Monitor, evaluate, and enhance AI systems while collaborating with cross-functional teams to drive adoption and business impact.

Core Technical Skills:

• Strong hands-on experience in Python development and building scalable AI applications.
• Expertise in Azure and/or AWS cloud platforms for deploying and managing AI solutions.
• Experience developing backend services, APIs, and automated testing frameworks.
• Proficiency in CI/CD pipelines, secure deployments, secrets management, and environment promotion.
• Hands-on experience with Generative AI, LLMs, and Agentic AI solutions.
• Strong understanding of RAG architectures, embeddings, vector databases, and grounding techniques.
• Experience with LangChain, LangGraph, MCP, A2A, and multi-agent orchestration frameworks.
• Knowledge of AI observability, evaluation metrics, and agent reliability, including handling hallucinations, prompt injection, and other AI risks.

Educational Qualification: BTech/BE/MTech/ME/MCA