VP, AI Engineering

Job Title: VP, AI Engineering

Location: Atlanta, GA

Employment Type: Full-time, Salaried

 

Who We Are

Impiricus is the first and only AI-powered HCP Engagement Engine. In 2025, Deloitte named Impiricus the #1 fastest growing company in North America for their prestigious Fast 500 list. Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to transform how life sciences companies support physicians. We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient access to the treatments they need.

With our unique access to the largest opted-in network of HCPs, their insights, and clinical expertise, we are the leading provider of AI technology and real-time channels that life science companies need to deliver clear, reliable, and evidence-based resources directly into the hands of HCPs. Guided by a council of 2000+ trusted HCP advisors, we ensure every interaction is clinically meaningful, ethically grounded and leads to better patient care.

 
Job Summary

As a VP, AI Engineering at Impiricus, you will lead the vision, strategy, and execution of AI-driven innovation across our platform. You will partner closely with product, engineering, and business leaders to deeply understand company and customer challenges, and translate them into scalable, high-impact AI solutions.

You will define how AI transforms our products—leveraging cutting-edge techniques in machine learning, large language models, and decision systems to drive measurable outcomes in healthcare engagement. This role requires both strategic leadership and hands-on technical depth, ensuring that AI is not just exploratory, but production-ready, reliable, and delivering real-world value.

Responsibilities

• Define and execute the company’s AI engineering strategy aligned with product and business objectives
• Build, lead, and scale a high-performing team of AI/ML engineers
• Architect and deliver cutting-edge AI solutions, including LLM-powered systems and intelligent automation
• Translate complex business and product challenges into scalable AI-driven solutions
  Own the end-to-end AI lifecycle, from research and prototyping to production deployment and monitoring
• Establish best practices for ML infrastructure, experimentation, evaluation, and governance
• Design and maintain scalable, reliable AI platforms using modern tooling and distributed systems
• Stay at the forefront of AI advancements and integrate state-of-the-art techniques into production
• Partner with cross-functional leaders and communicate AI strategy, progress, and impact to executive stakeholders

Experience

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
• 10+ years of experience in the AI field, spanning academia and/or industry
• Demonstrated experience applying AI to solve real-world, high-impact problems
• Deep expertise in machine learning, deep learning, and modern AI methodologies
• Strong experience with LLMs, prompt engineering, and emerging agent-based systems
• Knowledge of reinforcement learning and/or sequential decision-making frameworks
• Proven experience building scalable ML infrastructure and distributed systems
• Hands-on expertise with modern AI tooling 
• Track record of delivering production-grade AI systems (not just research prototypes)
• Strong understanding of state-of-the-art AI research and ability to translate it into practical applications; publications, patents, or notable contributions preferred

 

Important Notice

To protect candidates, please note that all communication from our team will come directly from an @impiricus.com email address. We do not engage third party recruiters to schedule interviews for this role. If you receive outreach from anyone outside of our domain claiming to represent Impiricus, please disregard and let us know by forwarding the message to gorustawsmachine learningaidataproductdesign