Software Engineer III (AI)

Join Novant Health as a Senior AI Software Engineer, where you’ll play a pivotal role in designing, developing, and deploying cutting-edge Decision Intelligence and AI-enabled products that transform healthcare delivery.

Your work will directly impact patient care, team member and patient experience, clinical and back-office operations, and the financial health of our system.

Schedule: 8:00AM – 5:00PM (On call support required, as needed).

Department: Institute for Innovation and AI

• Education: Minimum of a Bachelor’s Degree required in Engineering, Computer Science or similar field, required. Graduate degree, preferred.
• Experience: Minimum 6 years experience in software engineering, data engineering, machine learning engineering or similar technical role, required. 3 years experience in data science or artificial intelligence, preferred.
• Additional Skills (required): Experience working in cross-functional teams following an Agile product development framework Experience deploying production AI/ML applications employing big data technologies, cloud platforms, and data pipeline orchestration Experience developing rapid prototypes and iterations Expert understanding of AI/ML architectures, tools, and infrastructure Expert level programming skills in two or more languages, preferably including Python/PySpark, Java 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
• Experience working in cross-functional teams following an Agile product development framework Experience deploying production AI/ML applications employing big data technologies, cloud platforms, and data pipeline orchestration Experience developing rapid prototypes and iterations Expert understanding of AI/ML architectures, tools, and infrastructure Expert level programming skills in two or more languages, preferably including Python/PySpark, Java 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
• Experience working in cross-functional teams following an Agile product development framework
• Experience deploying production AI/ML applications employing big data technologies, cloud platforms, and data pipeline orchestration
• Experience developing rapid prototypes and iterations
• Expert understanding of AI/ML architectures, tools, and infrastructure
• Expert level programming skills in two or more languages, preferably including Python/PySpark, Java
• 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 (preferred): Contributions to open-source AI/ML projects Experience in the healthcare industry Knowledge of medical terminology and clinical workflows
• Contributions to open-source AI/ML projects Experience in the healthcare industry Knowledge of medical terminology and clinical workflows
• Contributions to open-source AI/ML projects
• Experience in the healthcare industry
• Knowledge of medical terminology and clinical workflows
• Collaborate within a cross-functional product team including engineers, data scientists, architects, product managers, and designers.
• Lead the development of scalable AI solutions from ideation to deployment, ensuring alignment with business outcomes.
• Participate in continuous Product Discovery and Delivery cycles to prototype, launch, learn, and iterate.
• Mentor junior engineers, promoting best practices in software development and fostering a culture of innovation and ownership.
• Champion a positive, solution-oriented mindset that drives progress and creativity.
• Proven experience in building and deploying AI/ML-powered applications.
• Strong proficiency in software engineering principles and modern development frameworks.
• Passion for solving complex problems with data-driven solutions.
• Excellent communication and collaboration skills.
• A proactive, “get to yes” attitude and a commitment to continuous improvement.