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Principal Software Engineer

Henry Schein One · United States

Full-timeStaff+TypeScriptJavaScript

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About the Role

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. What You Will Achieve • 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 Technology Environment • C++, C#, C, and .NET • SQL-based data systems • WinForms and WPF (with ongoing modernization efforts) • GitLab with CI/CD pipelines • Client-server architecture evolving toward modern, distributed patterns • Win32 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 What Success Looks Like • 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 Experience You Bring • 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 lifecycles • 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 to diagnose root causes, navigate ambiguity, and drive practical, scalable solutions Nice To Have • Experience modernizing legacy systems into microservices architectures • Familiarity with JavaScript / TypeScript • Exposure to Behavior-Driven Development (BDD) • Bachelor's or Master's Degree in Computer Science or related field The posted range for this position is $150,000 - $195,000 which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc. This position is eligible for a bonus t

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