Principal Software Engineer

As a Principal Software Engineer at Henry Schein One, you will advance the Dentrix platform at a company where AI is already changing what dental care looks like in practice, from catching cavities a human eye would miss to flagging imaging issues before a claim goes out the door.

You will shape architectural direction, define AI standards, and embed intelligent capabilities into both the product and the development lifecycle. This is an impact-oriented team that ships into production systems used by dental practices every day, within a culture where people, customers and teammates alike, come first.

Here, you’ll build with empathy for customers and teammates, contribute as a Care Catalyst driving meaningful change in dental care. You’ll be empowered to innovate, influence outcomes, collaborate across teams, and deliver solutions that raise the standard for dental technology while making a real impact on the practices and patients we serve.

• Deliver measurable improvements in performance, reliability, and intelligence by building modern, scalable full stack solutions with integrated AI capabilities
• Embed AI-first thinking across system design and development, leveraging LLMs, agentic frameworks, and AI-assisted tools to enhance product functionality and engineering productivity
• Define and drive adoption of architecture standards, including scalable AI patterns and responsible guardrails to ensure interoperability, security, and future readiness
• Modernize the technology stack and development practices to improve engineering velocity, scalability, and code quality through automation, CI/CD, and emerging tools
• Strengthen system resilience and uptime through proactive dependency management, observability, fault tolerance, and intelligent monitoring
• Lead technical direction and cross-team alignment by promoting best practices, enabling data-driven experimentation, and translating complex trade-offs into clear decisions

• C++, C#, C, and .NET
• SQL-based data systems
• Win Forms and WPF (with ongoing modernization efforts)
• Git Lab with CI/CD pipelines
• Client-server architecture evolving toward modern, distributed patterns
• Win
  32 API and WinUI 3 (bonus)
• AI/ML technologies, including:
  • LLMs, RAG pipelines, and prompt engineering
  • Agentic frameworks and orchestration tools
  • Model evaluation, monitoring, and responsible AI practices
  • AI-assisted developer tooling to enhance productivity

• Systems are more stable, scalable, and intelligent, with improved automation and reduced manual intervention with AI capabilities thoughtfully integrated into engineering workflows, driving measurable efficiency gains
• Engineering teams are aligned on architecture, including AI patterns and guardrails, reducing risk and increasing speed of delivery
• Cross-team initiatives are delivered predictably in complex, interdependent environments, with clear technical direction
• You actively mentor and support teams through structured forums, creating opportunities to share knowledge, elevate technical understanding, and build stronger cross‑functional alignment

• 12+ years of delivering high‑impact backend or full stack systems / enterprise software
• Demonstrated ability to design, apply, and scale AI/ML systems within software products and development life cycles
• Experience working with or implementing LLMs, agentic frameworks, and model evaluation practices
• Solid understanding of AI system design trade-offs, with the ability to define architecture patterns and establish responsible AI guardrails
• Experience leveraging AI tools to enhance personal and team productivity, bringing an AI‑first mindset to development and problem‑solving
• Experience leading technical direction as a team or technical lead and influencing architecture and strategy across multiple development teams
• Expertise in unit testing, system design, and reliability engineering
• In depth understanding of domain‑driven design and system interdependencies
• Experience working in agile environments with excellent communication and collaboration skills
• Hands‑on and willing to dive deep into complex problems, partnering with teams…