Alliance Health · 4 months ago
Artificial Intelligence Engineer (Full-Time Remote, North Carolina Based)
Alliance Health is seeking an Artificial Intelligence Engineer to design, develop, deploy, and integrate machine learning models and AI tools into their systems to enhance member health and administrative processes. The role involves collaborating with cross-functional teams to build AI/ML solutions, analyzing data to improve care management, and establishing internal processes for AI/ML projects.
Health Care
Responsibilities
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 Learning and Professional Development
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
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field
Three (3) years of experience developing and deploying software, machine learning, and/or artificial intelligence tools in a professional setting
Data wrangling and exploratory analysis of complex, real-world data
Iterative development and evaluation of artificial intelligence and machine learning models
Deployment, integration, and monitoring of AI/ML models and/or third-party AI/ML tools into production environment for internal or external use
Professional experience collaborating with non-technical stakeholders and/or users to define analytics problems based on open-ended business problem statements
Interpret data and analyses, scope modeling activities, and evaluate AI or machine learning performance in the context of business outcomes
At least two (2) years of experience with Python and relevant libraries for data analysis, machine learning, and AI, such as pandas, Keras, and LangChain
Strong technical expertise in AI/ML algorithms, data modeling, and data engineering
Fluency with Python and relevant libraries such as pandas, Keras, LangChain, etc
Ability to work with both structured (tabular) and unstructured (text, imagery, etc.) data sources for analysis and modeling
Good verbal and written communication skills, including the ability to explain analysis results and AI/ML modeling concepts, modeling approaches, and performance
Excellent analytical thinking, data analysis, and data visualization skills
Experience with version control tools (e.g., git) and project management tools (e.g., Azure DevOps)
Knowledge of medical claims data, electronic health records, and/or other healthcare-specific data sources
Experience with large language models (LLMs) and generative AI models (GenAI), such as Llama and gpt-oss
Experience with Azure Machine Learning, Azure AI Services, Databricks and/or comparable services
Proficiency with SQL for querying structured data from relational databases
Preferred
Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field
Specific experience working with generative AI and large language models (LLMs)
Specific experience with medical claims, electronic health records, and other semi-structured medical data
Experience using Azure Machine Learning, Azure AI Services and/or Databricks (e.g., Mosaic AI, AutoML)
Benefits
Medical, Dental, Vision, Life, Long Term Disability
Generous retirement savings plan
Flexible work schedules including hybrid/remote options
Paid time off including vacation, sick leave, holiday, management leave
Dress flexibility
Company
Alliance Health
Alliance Health is the managed care organization for publicly funded behavioral healthcare services.
H1B Sponsorship
Alliance Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2022 (1)
Funding
Current Stage
Late StageRecent News
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