Senior Director, (App to Cloud) AI & Engineering(Onsite) Overland Park, KS

About the role

Netsmart is a leading healthcare technology organization dedicated to Moving Healthcare Forward, Together. For more than 55 years, Netsmart has partnered with community-based and post-acute care providers to improve outcomes for the individuals and communities they serve. Our culture is rooted in collaboration, trust, service, and a strong commitment to responsible, secure innovation in healthcare. This is an onsite role in our Overland Park, KS office location.

Key Responsibilities

• Lead the delivery of AI-enabled engineering solutions across our healthcare technology platform.
• Translate AI and product strategy into clear engineering roadmaps, delivery plans, and outcomes.
• Ensure solutions meet Netsmart standards for quality, performance, security, reliability, and scalability.
• Apply modern engineering, DevOps, and MLOps practices to support continuous delivery and operational excellence.
• Partner with Product Management to deliver AI capabilities aligned to client needs and market priorities.
• Collaborate with Data Science and Analytics teams to operationalize models into production systems.
• Work closely with Clinical, Compliance, Privacy, and Security partners to meet healthcare and regulatory requirements.
• Provide technical leadership across AI platforms, data pipelines, and system integrations.
• Establish and uphold engineering standards, architectural patterns, and best practices.
• Drive reuse and platform thinking to enable scalable and sustainable AI delivery across solutions.
• Implement responsible AI practices including transparency, explainability, monitoring, and continuous validation.
• Support AI governance, risk management, and compliance efforts in partnership with leadership.
• Ensure AI solutions align with Netsmart’s commitment to trust, safety, and community impact.

Qualifications

• 10+ years of experience in software engineering, including leadership roles with increasing scope.
• Demonstrated experience delivering AI, machine learning, or data-driven systems in production.
• Strong understanding of cloud-based architectures, AI/ML platforms, and MLOps practices.
• Experience working in regulated industries; healthcare experience strongly preferred.
• Proven ability to partner effectively across engineering, product, data, and business teams.
• Strong communication, people leadership, and execution skills.