AI/ML Architect, MediaOS Platform , IQVIA Digital

AI/ML Architect, MediaOS Platform,IQVIA Digital

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.

Key Responsibilities

• Architect and design end-to-end AI/ML solutions for the MediaOS 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)

Required Qualifications

• 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)

Preferred Qualifications

• 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 target="_blank">Discover IQVIA Digital

  About the Team

  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.

  If you want, I can also optimize this for Workday posting (with job codes, compliance language, and EEO section) or create a short LinkedIn version for faster sourcing.

  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 proud to be an equal opportunity employer. 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. https://jobs.iqvia.com/eoe

  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.

  The potential base pay range for this role, when annualized, is $103,300.00 - $287,600.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.