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 ResponsibilitiesArchitect 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)
- 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)
- 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.
To learn more about IQVIA Digital and its capabilities, visit:
👉 Discover IQVIA Digital
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.
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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.Skills Required
- 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
- Programming expertise in Python
- Programming expertise in Java or 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 (CI/CD, model versioning, observability)
- Experience designing secure AI systems, including authentication and authorization frameworks (RBAC, ABAC)
- Experience with personalization, recommendation engines, or optimization models
- Familiarity with Generative AI, LLMs, and NLP applications
- Experience in media, advertising, marketing analytics, or audience platforms
- Experience building data-driven platforms or products
- Strong communication and stakeholder management skills
IQVIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IQVIA and has not been reviewed or approved by IQVIA.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical/dental/vision plus programs like telemedicine, EAP resources, and additional insurance options. Feedback suggests the health offering is a meaningful part of the overall rewards package, though details can vary by location and plan design.
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Retirement Support — Retirement benefits include an employer match structure that supports employee contributions through a defined formula. This adds steady long-term value to total rewards beyond base salary.
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Leave & Time Off Breadth — Time off offerings include vacation/paid time off, holidays, and flexibility themes, with some roles described as having discretionary or unlimited time-off models. This can make the package feel more attractive even when cash compensation is viewed as only mid-range.
IQVIA Insights
What We Do
IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. IQVIA creates intelligent connections across all aspects of healthcare through its analytics, transformative technology, big data resources and extensive domain expertise. IQVIA Connected Intelligence™ delivers powerful insights with speed and agility — enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients. With approximately 70,000 employees, IQVIA conducts operations in more than 100 countries. To learn more, visit www.iqvia.com.

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