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About the Role

We are seeking a visionary AI/ML Architect to define and lead the next generation of intelligent capabilities within our MediaOS Platform. This is a foundational leadership role, where you will shape the AI strategy, architecture, and execution roadmap from the ground up. You will work closely with engineering, product, and data teams to embed advanced machine learning and AI-driven decisioning into a scalable, high-performance platform. This is a unique opportunity to influence both technical direction and business outcomes in a rapidly evolving domain.

Responsibilities

Architect and design end-to-end AI/ML solutions for the MediaOS platform, including personalization and recommendation systems, targeting and optimization models, and forecasting and advanced analytics.
Define and implement scalable ML pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
Lead the design of cloud-native, distributed AI systems leveraging modern frameworks and high-performance computing environments.
Partner with product, data engineering, and platform teams to translate business requirements into robust AI-driven solutions.
Establish and enforce MLOps best practices, including CI/CD, model versioning, observability, governance, and lifecycle management.
Evaluate and integrate emerging AI technologies, including Generative AI, LLMs, and NLP applications where applicable.
Drive data strategy alignment, ensuring high-quality, well-governed datasets to support model development and scalability.
Mentor and guide engineers and data scientists, fostering a culture of innovation, collaboration, and technical excellence.
Architect secure AI platforms, including authentication and authorization models (e.g., RBAC, ABAC).

Requirements

8+ years of experience in AI/ML, Data Science, or related fields.
Proven track record of designing and deploying production-grade ML systems at scale.
Strong programming expertise in Python (preferred) and/or Java/Scala.
Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
Deep understanding of data architecture, distributed systems, and cloud platforms (AWS, Azure, or GCP).
Experience with real-time and batch processing systems.
Strong knowledge of MLOps tools, frameworks, and lifecycle practices.
Experience designing secure AI systems, including authentication and authorization frameworks (RBAC, ABAC).
Strong communication and stakeholder management skills, with the ability to influence both technical and business audiences.

Skills

Python
Java
Scala
TensorFlow
PyTorch
Scikit-learn
AWS
Azure
GCP
MLOps
Generative AI
LLMs
NLP

Location

Remote
Austin

Work Type

Fully remote

Experience Level

8+ years

Salary/Compensations

$103,300.00 - $287,600.00

About the Company

IQVIA Digital powers smarter healthcare engagement through advanced analytics, AI, and media solutions. Our platforms help life sciences organizations connect with healthcare professionals and patients more effectively through data-driven insights and precision targeting.
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.
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.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.