• Top 3 requirements:
• Python/Pyspark, Java programming
• Exp building UI using HTML, CSS, JavaScript frameworks (React or Angular)
• Have knowledge of and have implemented knowledge graph (ideally Neo4j) in solutions deployed to production
• Implemented GraphRag in AI/ML products that were deployed to production to improve LLM response
• Public Cloud (ideally Azure)

The team member's Number One job responsibility is to deliver the most remarkable patient experience, in every dimension, every time, and understands how to contribute to the health system's vision of achieving that commitment to patients and families. At Novant Health, people are our business. We treat each other with respect and compassion. We embrace the differences in our strengths while fostering an environment of inclusion, empowerment, inspiration and courage. The team member will use Novant Health's First Do No Harm (NHFDNH) safety behaviors/error prevention tools and high reliability strategies as appropriate to ensure a safe, remarkable patient experience. The employee's Number One job responsibility is to deliver the most remarkable patient experience, in every dimension, every time, and understand how he or she contributes to the health system's vision of achieving that commitment to patients and families. (Standard sentence-keep) As an AI Software Engineer at Novant Health, you will be responsible for designing, developing, and deploying world-class Decision Intelligence and AI-enabled products for our customers. These solutions have far-reaching impact across aspects including patient care, team member and patient experience, clinical and back-office operations, and system financial health. You will work as part of a product team with other engineers, data scientists, architects, product managers, and product designers. You will also share in the responsibility for our products achieving the target outcomes for the business problems they are meant to solve. As such, you will be a key player in the continuous Product Discovery and Product Delivery lifecycles to ideate, prototype, launch, learn, and increasingly improve each iteration of Page 2 of 4 our products. As a senior level AI Software Engineer, you mentor other engineers in software development best practices and exemplify a sense of product ownership, value in creativity and exploration, and a positive, "get to yes” attitude.

Additional Skills/Requirements (required) · Experience working in cross-functional teams following an Agile product development framework · Experience developing rapid prototypes and iterations · Expert understanding and experience deployment to production AI/ML architectures, tools, and data infrastructure to public cloud platforms. · Expert level programming skills in two or more languages, preferably including Python/PySpark, Java. · Designing and building user interfaces using HTML, CSS, and JavaScript frameworks like React or Angular. Page 3 of 4 · Strong understanding of cloud computing, containerization, and DevSecOps practices · Proficient working with semi-structured file formats and NoSQL databases · Strong understanding of layers of software stack including API design, development and production deployment at scale. · Understanding of Healthcare industry standards and HIPAA privacy and security rules · Excellent problem-solving, analytical, and critical thinking skills. Ability to troubleshoot failures and perform root cause analysis to identify deficiencies in data and/or processes · Expert in data engineering and data orchestration best practices with large scale structured and unstructured data · Strong communication, presentation, and stakeholder management skills · A positive, "get to yes” attitude, seeking to find a solution that meets viability, value, feasibility, and usability objectives

Additional Skills/Requirements (preferred) · Contributions to open-source AI/ML projects · Experience in the healthcare industry · Knowledge of medical terminology and clinical workflows

Essential Functions · Collaborate with product team to design, develop, and deploy world-class Decision Intelligence and AIenabled products · Explore Client solutions, often combining multiple AI/ML techniques · Guide the architecture, infrastructure, tools, and processes used to develop, maintain AI/ML products · Deeply understand a wide variety of algorithms to understand vulnerabilities, strengths, and weaknesses · Rapidly develop prototypes to experiment and evaluate feasibility · Standardize, optimize and scale products in production environments · Design and implement scalable and efficient ML Ops pipelines for ingesting, processing, and storing large volumes of structured and unstructured data · Keep abreast of the latest data platform and AI/ML tools, techniques and industry trends