Senior AI Engineer - GenAI

Overview

As a Senior AI Engineer, you will shape production-ready data science solutions within a cross‑functional team at IQVIA. You’ll turn prototypes into reusable services and expose models to business users, while upholding engineering standards and SDLC processes. You’ll collaborate with data scientists, engineers, and business teams to drive scalable AI‑driven healthcare solutions. This role offers impact across healthcare analytics, model deployment, and continuous improvement in a global team.Benefits

• Deliver robust engineering outcomes in cross‑functional autonomous scrum teams
• Develop automated CI/CD pipelines for on‑prem and cloud deployments
• Research and share findings on current tools and techniques
• Improve product quality and establish engineering standards
• Coordinate with data scientists to productionize code
• Facilitate cross‑team knowledge sharing and documentation
• Lead code reviews and mentor data scientists and engineers
• Apply SDLC processes consistently in daily work
• Collaborate with engineers and leaders across IQVIA
• Support production deployment and governance of ML models

Responsibilities

• Substantial relevant collaborative software engineering experience
• Previous full‑time engineering roles in at least two companies
• Solid understanding of computer science fundamentals
• Expert familiarity with backend development in Python
• Experience designing applications using a microservices architecture
• Experience with LangChain, LangGraph, or similar LLM orchestration frameworks
• Experience deploying models in cloud environments (AWS, GCP, or Azure)
• Knowledge of Kubernetes or another container orchestration platform
• Experience with relational databases
• Experience with Airflow or similar workflow management tools
• Experience building RESTful APIs
• Experience deploying code into production through CI/CD tools
• Good verbal and written communication skills
• Knowledge of Agile methodology and collaborative Agile environment

Requirements

• Collaborative, research‑driven environment
• Career growth through innovation and mentorship
• Continuous learning culture
• Competitive compensation and benefits

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