Engineer, Software Development Architect

EEOC Statement “Lifepoint Health is an Equal Opportunity Employer. Lifepoint Health is committed to Equal Employment Opportunity for all applicants and employees and complies with all applicable laws prohibiting discrimination and harassment in employment." You must be authorized to work in the United States without employer sponsorship. This position is: Remote Travel requirements: Less than 5% travel to HSC (Brentwood, TN) and/or facilities Job Summary As a Software Development Engineer/Architect, you will work with the Palantir “Foundry” Platform and other AI programming tools like Python and Typescript to build and deploy data-driven solutions across our healthcare system. You will be responsible for developing and managing data workflows, analyzing large datasets, and integrating AI and analytics solutions into real-world applications. This is a hands-on role that focuses on designing and developing applications from start to finish. In addition, supporting ongoing development and enhancement of healthcare applications within the Palantir “Foundry” Platform. Essential Job Functions: Develop, optimize & rollout workflows and applications (40%) Design, build, and optimize data models and workflows within Palantir to support analytics and AI-driven applications. Create scalable and efficient data structures that facilitate effective data management and ensure accuracy in application outputs. Put workflows and applications into production and ensure user engagement Create and deploy end-to-end analytics applications (30%) Develop and deploy comprehensive analytics and AI applications, utilizing Palantir, Python, and Typescript. Conduct in-depth analysis of large, complex datasets to identify actionable insights, trends, and opportunities for improvement. Apply advanced analytics techniques to support decision-making and enhance healthcare outcomes. Ensure applications integrate seamlessly into healthcare workflows, optimizing operational processes and supporting healthcare delivery. Collaborate with stakeholders to understand business needs (20%) Engage with business stakeholders to understand strategic needs, translating business concepts into actionable data insights. Communicate findings and proposed solutions to technical and nontechnical teams, aligning analytics solutions with organizational goals. Support cross-functional integration and application performance (10%) Work closely with cross-functional teams, including IT, business, and healthcare professionals, to integrate data-driven solutions into existing workflows. Provide technical support and continuous improvement insights to ensure successful application deployment and performance. Required Qualifications 5+ years of experience in software development, data engineering, or analytics roles. Proficiency in programming languages like Python, SQL, and Typescript for building analytics applications and managing large datasets. Proven ability to translate broad business concepts into effective and scalable data solutions. Experience in developing data models and performing data analysis. Strong problem-solving skills and ability to work efficiently in a fast-paced environment, delivering impactful results while maintaining high-quality standards. Strong communication skills to convey technical concepts to non-technical stakeholders. Education: Bachelor’s Degree in Computer Science, Data Science, Engineering, or a related field. Preferred Qualifications Familiarity with designing scalable and efficient analytics frameworks to support workflow applications. Hands-on experience with analytics platforms and tools, including performance optimization and data visualization tools. AI and LLM Aptitude: Strong curiosity and foundational understanding of AI concepts, including Large Language Models (LLMs), machine learning, and natural language processing (NLP), with a willingness to apply and deepen knowledge in these areas. Experience collaborating with differing levels of leadership, IT, and business stakeholders to address strategic challenges. Familiarity with AI and data science platforms such as Palantir, Dataiku, DataRobot, or similar, for developing and deploying data-driven solutions. Experience with data visualization tools, such as Tableau, Power BI, or similar, for translating complex data insights into actionable, user-friendly visuals. Certification in Palantir AI platform (or the ability to obtain it within the first year of employment).