Senior Software Engineer - AI

Responsibilities Design, develop, and maintain scalable web AI applications using modern frameworks and technologies including C# Blazor, .NET, RESTful APIs, MCP, and Azure AI. Collaborate with business stakeholders, product owners, and cross‑functional teams to gather, refine, and translate business requirements into technical solutions. Architect and implement custom software solutions and system integrations to support enterprise and business‑critical workflows. Establish reusable design patterns, components, and shared services to ensure consistency, maintainability, and scalability across multiple websites and platforms. Develop and maintain cloud‑based solutions in Microsoft Azure, including application hosting, storage, security, and monitoring. Build and maintain CI/CD pipelines to support automated builds, testing, and deployments across development, staging, and production environments. Implement unit tests, integration tests, and automated quality checks to ensure code reliability, performance, and security. Design and develop front‑end user interfaces that are performant, accessible, and aligned with UX/UI best practices. Build proof‑of‑concept applications and technical prototypes to evaluate new technologies, frameworks, and architectural approaches. Optimize application performance, search efficiency, and cost optimization for AI platform. Monitor, analyze, and report on AI utilization and business value for custom applications. Identify opportunities for automation and process improvement to increase development efficiency and platform reliability. Ensure all solutions adhere to security, compliance, and governance requirements appropriate for an enterprise and regulated environment. Perform all other duties as required. Minimum Requirements Bachelor’s or Master’s Degree in computer science, information systems, or related field. 5+ years of experience in software engineering with a Bachelor’s Degree OR 3+ years of experience in software engineering with a Master’s Degree. 1+ year of experience developing custom AI applications utilizing modern GPT LLMs (preferably GPT & Copilot). 3+ years of experience with object‑oriented software development (preferably in .NET, Python). 3+ years of experience with web stack technologies (MVC, HTML, CSS, Blazor, Node). 3+ years of experience with web APIs and server‑oriented architecture. 3+ years of experience with cloud development and architecture (preferably Azure). 2+ years of experience in software development methodologies (Agile, Scrum, Shape‑Up). 1+ year of experience with dashboards, including understanding the visualization of data and its underlying structure and relationship. 1+ year of experience with SQL or similar relational databases, including querying and star schemas. Demonstrated experience developing in a modern cloud environment with PaaS, IaaS, and SaaS solutions. Ability to produce and understand IEEE software engineering documents, such as requirements and specification documents. Documentation skills with the ability to create UML diagrams to document and brainstorm programming architecture. Ability to solve complex technical problems and debug enterprise software. Experience in technical writing and analysis. Excellent written and verbal communication skills to effectively convey technical concepts to non‑technical parties in and out of the department. Preferred Qualifications Experience with Databricks or other data pipeline technologies. Benefits Eligible employees may participate in the Company’s comprehensive benefits suite of programs, including medical, dental, vision, prescription coverage, employee wellness resources, savings plans (401k and ESPP), paid time off & paid parental leave benefits, disability benefits, and more. For additional information on Company benefits, please visit United Therapeutics Corporation is an Equal Opportunity Employer, including veterans and individuals with disabilities. #J-18808-Ljbffr