AI/ML Architect– MediaOS Platform

IQVIA • Durham, NC

8d • $103,300 - $287,600 • Remote

About The Position

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.

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)

Nice To Haves

• 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

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)

Benefits

• Flexible work environment – Fully remote with optional access to our Austin office

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed