Artificial Intelligence Engineer; Remote, North Carolina

The Artificial Intelligence Engineer (AI Engineer) will design, develop, deploy, and integrate machine learning models, AI tools, and other analytics products into Alliance systems and workflows to improve member health, quality of services, and administrative processes. The AI Engineer will help to stand up the foundational platforms and processes that will facilitate development and sustainment of machine learning and artificial intelligence capabilities at Alliance now and into the future.

This position is full-time remote. Selected candidate must reside in North Carolina. Some travel for onsite meetings to the Home office at Morrisville may be required.

• Collaborate with technical managers and cross‑functional teams to design, build, and deploy AI/ML models and solutions to improve care management, patient care decisions, and administrative processes. May include solutions leveraging descriptive analytics, predictive analytics, large‑language models (LLMs), generative AI tools (GenAI), or prescriptive tools.
• Analyze data, such as medical claims, electronic health records, and care management records, to understand patient care and business processes and identify opportunities for AI/ML to improve processes and care outcomes.
• Develop specific analytics problem statements and modeling objectives from broadly defined care management and administrative use cases.
• Iteratively develop data pipelines, AI/ML models, and supporting code to address analytics use cases.
• Evaluate AI/ML models and tools – both internal (developed at Alliance) and external (developed by third parties) – with evaluation pipelines and appropriate metrics consistent with both modeling objectives and the intended health or process outcomes to be achieved with the tool.
• Collaborate with application development, external vendors, and other internal IT teams to deploy and sustain AI/ML models and tools.
• Design and implement model/tool monitoring reports or dashboards to disseminate information about model performance and impacts to stakeholders.

• Collaborate with AI and IT leaders to establish and refine internal processes to govern development, evaluation, deployment, and sustainment of AI/ML tools.
• Contribute to development of internal and/or cloud-based infrastructure for development, evaluation, deployment, and monitoring of AI/ML tools.
• Develop reusable resources, such as internal data processing or modeling libraries and reusable features, for use across AI/ML initiatives.
• Adhere to all laws, regulations, internal policies, and ethical guidelines related to patient privacy, confidentiality, information security, etc., while developing AI/ML solutions.

• Collaborate with cross‑functional teams, including both technical and non‑technical personnel, to execute AI/ML initiatives.
• Communicate with subject matter experts within various functions inside Alliance to understand existing business processes, values, goals, opportunities, and constraints that will guide AI/ML development, integration, and evaluation.
• Present results of analysis, model/tool evaluations, recommendations, etc., to technical and non‑technical stakeholders.
• Provide honest assessments of models, tools, AI/ML opportunities, and progress toward project goals to supervisors, collaborators, and other stakeholders within Alliance.
• Support efforts to share knowledge about AI/ML tools, case studies, impacts, and opportunities internally across Alliance and, as deemed appropriate, with outside groups such as through industry group meetings.

• Stay up to date on relevant AI and ML software, tools, modeling techniques, etc.
• Maintain awareness of AI/ML advances and use cases specifically relevant to managed care and other key Alliance functions.

Education and Experience:

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field and three (3) years of experience developing and deploying software, machine learning, and/or artificial…