AI​/ML Architect, MediaOS Platform , IQVIA Digital

Durham, United States of America | Full time | Home-based | R1545329

We are seeking a visionary AI/ML Architect to define and lead the next generation of intelligent capabilities within our Media

OS 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.

• Architect and design end-to-end AI/ML solutions for the Media
  
  OS platform, including:
  • Personalization and recommendation systems
  • Targeting and optimization models
  • 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)

• 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 Tensor Flow, 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)

• Experience in media, advertising, marketing analytics, or audience platforms
• Hands‑on experience with personalization, recommendation engines, or optimization models
• Familiarity with Generative AI, LLMs, and NLP applications
• Experience building data-driven platforms or products
• Strong communication and stakeholder management skills, with the ability to influence both technical and business audiences

• Build from the ground up – Play a foundational role in shaping AI capabilities within MediaOS
• High‑impact role – Directly influence platform intelligence and customer outcomes
• Cutting‑edge technology – Work with modern AI/ML, data, and cloud ecosystems
• Flexible work environment – Fully remote with optional access to our Austin office
• Leadership opportunity – Partner closely with senior leadership and help scale future AI capabilities

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.

You will report directly to the Head of Software Development Engineering and collaborate with a high‑performing, cross‑functional team focused on building a next‑generation media and data platform.

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…