Director, Generative AI - Remote

Overview

The Real-World Data team is seeking a Principal-level AI Engineer and Architect. This is an individual contributor role where you will direct the Generative AI Program, leading the design and implementation of its production-grade AI/ML systems—from proof-of-concept through enterprise-scale deployment. The Head AI Architect will be a product-driven, full-stack engineer who collaborates closely with product managers, application architects, and domain experts in data science and clinical data. This role will focus on building scalable AI pipelines, agent-based solutions, foundation model applications, and fine-tuned models tailored to business needs, all in service of advancing our Generative AI capabilities.

In Short

• Develop AI Agents and Models: Fine-tune and customize LLMs, vision models, and multimodal models and agents to transform end-to-end value chains with AI.
• Build Enterprise-Scale AI Solutions: Design scalable and optimized AI/ML pipelines for model development, deployment, monitoring, and maintenance.
• Deliver Impactful AI Applications: Lead successful customer deployments and demonstrate high-impact AI applications for specific business use cases.
• Cross-Domain Innovation: Create models and agents across domains such as biomedical statistics, clinical data abstraction, and software development.
• Mentorship and Leadership: Mentor AI engineers and serve as a thought leader within the organization in your capacity as Head AI Architect.

Requirements

• PhD in Computer Science, Mathematics, or a related field with a graduate focus on AI/ML.
• Proven experience developing deep learning models in research or production environments.
• Strong expertise as a machine learning engineer, software engineer, or research scientist, with depth in at least one area.
• In-depth knowledge of standard deep learning algorithms and architectures.
• Familiarity with the current ML literature and strong mathematical foundations in ML.
• Proficiency in ML best practices, including scalable training, deployment, model evaluation, and introspection.
• Hands-on experience with frameworks such as PyTorch, TensorFlow, or equivalent.
• Advanced programming skills in Python and strong software engineering practices.
• Experience with DevOps workflows including version control, CI/CD, and containerization.
• At least one peer-reviewed publication.

Benefits

• Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
• Free testing for employees and their immediate families in addition to fertility care benefits.
• Pregnancy and baby bonding leave, 401k benefits, commuter benefits, and more.
• A generous employee referral program.