Overview
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.
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 outcomesDevelop specific analytics problem statements and modeling objectives from broadly defined care management and administrative use casesIteratively develop data pipelines, AI / ML models, and supporting code to address analytics use casesEvaluate 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 toolCollaborate with application development, external vendors, and other internal IT teams to deploy and sustain AI / ML models and toolsDesign and implement model / tool monitoring reports or dashboards to disseminate information about model performance and impacts to stakeholdersSupport Development of Platforms and Internal Processes for AI / ML ProjectsCollaborate 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 toolsDevelop reusable resources, such as internal data processing or modeling libraries and reusable features, for use across AI / ML initiativesAdhere to all laws, regulations, internal policies, and ethical guidelines related to patient privacy, confidentiality, information security, etc., while developing AI / ML solutionsCommunication and CollaborationCollaborate 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 evaluationPresent results of analysis, model / tool evaluations, recommendations, etc., to technical and non-technical stakeholdersProvide honest assessments of models, tools, AI / ML opportunities, and progress toward project goals to supervisors, collaborators, and other stakeholders within AllianceSupport 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 meetingsContinuous Learning and Professional DevelopmentStay 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 functionsMinimum Requirements
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 intelligence tools in a professional setting, including :
Data wrangling and exploratory analysis of complex, real-world dataIterative development and evaluation of artificial intelligence and machine learning modelsDeployment, integration, and monitoring of AI / ML models and / or third-party AI / ML tools into production environment for internal or external useProfessional 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.
Preferred
Master's degree in Computer Science, Data Science, Engineering, Mathematics or Statistics.
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).
Knowledge, Skills, & Abilities
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 skillsExperience 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 sourcesExperience with large language models (LLMs) and generative AI models (GenAI), such as Llama and gpt-ossExperience with Azure Machine Learning, Azure AI Services, Databricks and / or comparable servicesProficiency with SQL for querying structured data from relational databasesEmployment for this position is contingent upon a satisfactory background check and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$105,497-$122,639.94 / Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes :
Medical, Dental, Vision, Life, Long Term DisabilityGenerous retirement savings planFlexible work schedules including hybrid / remote optionsPaid time off including vacation, sick leave, holiday, management leaveDress flexibilityEducation
Required
Bachelors or better in Computer ScienceBachelors or better in EngineeringBachelors or better in MathematicsBachelors or better in StatisticsPreferred
Masters or better in Computer ScienceMasters or better in EngineeringMasters or better in MathematicsMasters or better in StatisticsEqual Opportunity Employer. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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