Artificial Intelligence Engineer

Alliance Health

. Design, develop, deploy, and integrate machine learning models, AI tools, and analytics products into Alliance systems and workflows .

Posted 9/15/2026full-timeMorrisville • North Carolina • United StatesMid-LevelSenior💰 $107,607 - $137,198 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing, deploying, and integrating AI/ML models and tools, with a strong focus on healthcare data analysis and process improvement. Proficient in collaborating with cross-functional teams and communicating complex technical concepts to non-technical stakeholders.

Highest-signal resume keywords

Machine Learning Model DevelopmentAI/ML Tool IntegrationPython ProgrammingData Analysis with SQLHealthcare Data Expertise

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningArtificial IntelligenceData WranglingData ModelingData EngineeringVersion Control with GitSQLIterative DevelopmentAI/ML AlgorithmsExploratory Data Analysis

Soft Skills

CollaborationCommunicationProblem SolvingStakeholder EngagementKnowledge Sharing

Tools & Technologies

Azure Machine LearningAzure AI ServicesDatabricksKerasPandasLangChainAzure DevOpsLarge Language ModelsGenerative AI ModelsEvaluation Pipelines

Industry Keywords

Healthcare DataMedical Claims DataElectronic Health RecordsPatient PrivacyInformation SecurityRegulatory ComplianceManaged-Care Use CasesData Processing LibrariesModel MonitoringAI/ML Evaluation Metrics

Tech Stack

Tools & technologies

AzureCloudKerasPandasPythonSQL

About the role

Key responsibilities & impact

Design, develop, deploy, and integrate machine learning models, AI tools, and analytics products into Alliance systems and workflows
Improve member health, quality of services, and administrative processes through AI/ML solutions
Establish foundational platforms and processes for developing and sustaining machine learning and artificial intelligence capabilities
Collaborate with technical managers and cross-functional teams to build and deploy AI/ML models and solutions
Analyze medical claims, electronic health records, and care management records to identify opportunities for process and care improvement
Develop analytics problem statements and modeling objectives from care management and administrative use cases
Iteratively develop data pipelines, AI/ML models, and supporting code
Evaluate internal and third-party AI/ML models and tools using evaluation pipelines and appropriate metrics
Collaborate with application development, external vendors, and internal IT teams to deploy and sustain AI/ML models and tools
Design and implement model/tool monitoring reports or dashboards
Help establish internal processes governing AI/ML development, evaluation, deployment, and sustainment
Contribute to internal and/or cloud-based infrastructure for AI/ML projects
Develop reusable data processing or modeling libraries and reusable features
Adhere to patient privacy, confidentiality, information security, legal, regulatory, internal policy, and ethical requirements
Communicate with technical and non-technical stakeholders and present analyses, evaluations, and recommendations
Share knowledge about AI/ML tools, case studies, impacts, and opportunities
Stay current on relevant AI/ML software, tools, modeling techniques, advances, and managed-care use cases

Requirements

What you’ll need

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
Experience with data wrangling and exploratory analysis of complex, real-world data
Experience with iterative development and evaluation of artificial intelligence and machine learning models
Experience deploying, integrating, and monitoring AI/ML models and/or third-party AI/ML tools into production environments
Professional experience collaborating with non-technical stakeholders and/or users to define analytics problems, 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
Reside within 50 miles of Morrisville, North Carolina
Must come into the Home office in Morrisville on Wednesdays and for business meetings as needed
Satisfactory background check and credit check required
Strong technical expertise in AI/ML algorithms, data modeling, and data engineering
Ability to work with structured and unstructured data sources
Experience with version control tools such as git and project management tools such as Azure DevOps
Knowledge of medical claims data, electronic health records, and/or other healthcare-specific data sources
Experience with large language models and generative AI models, 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

Benefits

Comp & perks

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