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Artificial Intelligence Engineer; Hybrid, Morrisville, NC

Remote / Online - Candidates ideally in
Morrisville, Wake County, North Carolina, 27560, USA
Listing for: Socket.dev
Full Time, Remote/Work from Home position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 107607 - 137198 USD Yearly USD 107607.00 137198.00 YEAR
Job Description & How to Apply Below

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 hybrid. Selected candidate must come into the Home office in Morrisville on Wednesdays, for business meeting as needed, reside within 50 miles of Morrisville North Carolina.

Responsibilities & Duties

Build and Integrate Machine Learning and Artificial Intelligence Solutions

  • 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

Support Development of Platforms and Internal Processes for AI/ML Projects

  • 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 iternal 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
Communication and Collaboration
  • 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
Continuous…
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