AI Engineer

IQVIA LLC; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

IQVIA is seeking a Senior Consultant - AI Engineer to design, develop, and deploy scalable AI-powered solutions for healthcare and life sciences. You will work on enterprise AI apps, LLM-based systems, and intelligent agents across claims, EMR/EHR, RWD, CRM, and patient data.

The role requires deep expertise in Generative AI, MLOps, cloud platforms, and data ecosystems, collaborating with stakeholders and data scientists to deliver production-grade outcomes.

Qualifications

• 2-6 years of experience building and deploying AI/ML solutions.
• Hands-on experience with Generative AI, LLMs, and RAG.
• Experience with Agentic AI, semantic search, and AI workflow orchestration.
• Strong Python and SQL skills.
• Experience with Databricks, Snowflake, Spark/PySpark, and cloud platforms (Azure, AWS, or GCP).
• Experience building APIs, scalable AI services, and enterprise AI applications.
• Knowledge of MLOps/LLMOps, CI/CD, Docker/Kubernetes, Git, and model deployment.
• Healthcare/Life Sciences experience, including claims, EMR/EHR, RWD, prescription, CRM data.
• Strong stakeholder management, consulting, and communication skills.
• Ability to translate business problems into scalable AI solutions and mentor junior team members.

Responsibilities

• AI Solution Development & Engineering: design, build, deploy, and maintain production-grade AI/ML solutions.
• Develop enterprise-scale Generative AI and Agentic AI applications using LLMs.
• Build RAG architectures, semantic search, knowledge agents, and intelligent workflows.
• Create reusable AI frameworks, APIs, accelerators, and platform components.
• Develop scalable AI orchestration using agent-based architectures and workflow tools.
• AI Platform & MLOps: develop cloud-native AI solutions; implement CI/CD, versioning, testing, observability, monitoring.
• Establish AI deployment pipelines, governance, and model performance optimization.
• Ensure scalability, security, reliability, and compliance in regulated healthcare environments.
• Collaborate with data engineering to build robust data pipelines and AI-ready data ecosystems.
• Generative AI & Agentic AI: design LLM apps, RAG systems, semantic search, prompts, AI agents, orchestration.
• Healthcare Analytics & Business Impact: apply AI to healthcare and life sciences data to improve outcomes and decision support.
• Partner with domain experts to align solutions with regulatory expectations.
• Stakeholder Management & Consulting: translate business problems into AI solutions; engage with leaders and cross-functional teams.

Skills

Python

SQL

LLMs

Generative AI

RAG

Agentic AI

APIs

MLOps/LLMOps

CI/CD

Git

Spark/PySpark

Databricks

Snowflake

Azure/AWS/GCP

Model deployment

Healthcare data

Stakeholder management

Consulting

Communication

Tools

Kubernetes

Docker

Git

Job description

Role Summary

We are seeking a highly skilled Senior Consultant - AI Engineer to design, develop, and deploy scalable AI-powered solutions that address complex commercial, medical, and patient-centric challenges in the Healthcare and Life Sciences industry.

This role combines advanced AI engineering, machine learning, Generative AI, Agentic AI, and healthcare analytics expertise to create innovative, production-grade solutions that drive measurable business value.

The ideal candidate will have strong experience in building enterprise AI applications, LLM-based solutions, intelligent agents, and modern analytics platforms while working with healthcare datasets such as claims, prescription, EMR/EHR, real-world data (RWD), CRM, patient support, clinical, and scientific data.

This individual will partner closely with business stakeholders, methodologists, data scientists, and technology teams to translate business problems into scalable AI solutions, reusable accelerators, and intellectual property.

Key Responsibilities

AI Solution Development & Engineering

Design, build, deploy, and maintain production-grade AI and machine learning solutions across commercial, medical, and patient analytics use cases.

Develop enterprise‑scale Generative AI and Agentic AI applications leveraging Large Language Models (LLMs).

Build Retrieval‑Augmented Generation (RAG) architectures, semantic search systems, knowledge agents, and intelligent workflow automation solutions.

Create reusable AI frameworks, APIs, accelerators, and platform components that can be deployed across multiple clients and therapeutic areas.

Develop scalable AI orchestration frameworks using agent‑based architectures and workflow management tools.

AI Platform & MLOps Engineering

Develop cloud‑native AI solutions using modern AI development platforms and frameworks.

Implement software engineering best practices including CI/CD, version control, automated testing, observability, and monitoring.

Establish AI deployment pipelines for model operationalization, monitoring, governance, and performance optimization.

Ensure scalability, security, reliability, and compliance of AI solutions in regulated healthcare environments.

Collaborate with data engineering teams to build robust data pipelines and AI‑ready data ecosystems.

Generative AI & Agentic AI

Design and implement: Large Language Model (LLM) applications, Retrieval‑Augmented Generation (RAG) systems, Semantic search solutions, Prompt engineering frameworks, AI agents and multi‑agent systems, Workflow orchestration platforms.

Evaluate, validate, and benchmark AI models to ensure accuracy, reliability, explainability, and business relevance.

Contribute to AI governance, Responsible AI practices, and model risk management frameworks.

Healthcare Analytics & Business Impact

Apply AI and advanced analytics to solve Healthcare and Life Sciences challenges using: Claims data, Prescription data, EMR/EHR data, Real‑World Data (RWD), Commercial and CRM data, Patient support data, Clinical and scientific data.

Develop AI‑enabled solutions that improve commercial effectiveness, customer engagement, forecasting accuracy, patient outcomes, and decision support.

Partner with healthcare domain experts to ensure solutions align with industry needs and regulatory expectations.

Stakeholder Management & Consulting

Translate ambiguous business challenges into structured AI and analytics solutions.

Engage with business leaders, clients, methodologists, and cross‑functional teams to define solution roadmaps and implementation strategies.

Present technical concepts and AI insights in a manner that is understandable to executive and non‑technical audiences.

Mentor junior engineers and contribute to building organizational AI capabilities and best practices.

Support thought leadership initiatives and contribute to AI innovation within the organization.

Must-have requirements:

• 2-6 years of experience building and deploying AI/ML solutions
• Hands‑on experience with Generative AI, LLMs, and RAG
• Experience with Agentic AI, semantic search, and AI workflow orchestration
• Strong Python and SQL skills
• Experience with Databricks, Snowflake, Spark/PySpark, and cloud platforms (Azure, AWS, or GCP)
• Experience building APIs, scalable AI services, and enterprise AI applications
• Knowledge of MLOps/LLMOps, CI/CD, Docker/Kubernetes, Git, and model deployment
• Healthcare/Life Sciences experience, including claims, EMR/EHR, RWD, prescription, clinical, or CRM data
• Strong stakeholder management, consulting, and communication skills
• Ability to translate business problems into scalable AI solutions and mentor junior team members

About IQVIA

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.

Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide. To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere.

Thank you for your interest in growing your career with us.