Director, AI Engineering

The position is a senior leadership role responsible for shaping and scaling advanced AI capabilities across enterprise-grade platforms, with a strong emphasis on Generative AI applications in healthcare technology. The role requires close collaboration with product, engineering, and data teams to embed AI capabilities into scalable production systems.

About the role

• Lead the design, development, and deployment of AI and GenAI-powered solutions across enterprise platforms, ensuring scalability and production readiness.
• Build and manage a high-performing team of AI engineers and data scientists, fostering innovation, collaboration, and technical excellence.
• Drive integration of AI capabilities into existing and new products, including conversational AI, documentation automation, and predictive systems.
• Define and enforce best practices for AI development, deployment, monitoring, and governance, including responsible AI principles.
• Partner with cross-functional teams (product, engineering, architecture, and business stakeholders) to align AI initiatives with organizational goals.
• Stay ahead of emerging AI/ML and GenAI trends and translate them into actionable opportunities for platform enhancement.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (Master’s preferred).
• 10+ years of experience in AI/ML engineering, including at least 3+ years working directly with Generative AI or LLM-based systems.
• Proven experience leading AI teams and delivering production-grade machine learning systems at scale.
• Strong expertise in machine learning frameworks, data pipelines, model deployment, and cloud-based AI architectures.
• Experience in healthcare, government, or regulated environments is highly valued.
• Strong leadership, communication, and stakeholder management skills, with the ability to translate technical concepts into business value.

Benefits

• Competitive annual compensation ranging from $186,100 to $265,800, based on experience and location factors.
• Fully remote work flexibility within the United States.
• Comprehensive health, dental, and vision insurance coverage.
• 401(k) retirement plan with employer matching contributions.
• Generous flexible vacation and paid time off policies.
• Access to leadership development programs and technical training academies.
• Educational assistance to support continued learning and certification growth.
• Occasional travel opportunities (0-10%) depending on project needs.