Hawaii Pacific Health is a not-for-profit health care network with over 70 locations statewide including medical centers, clinics, physicians and other caregivers serving Hawaii and the Pacific Region with high quality, compassionate care. Its four medical centers - Kapiolani, Pali Momi, Straub and Wilcox - specialize in innovative programs in women's health, pediatric care, cardiovascular services, cancer care, bone and joint services and more. Hawaii Pacific Health is recognized nationally for its excellence in patient care and the use of electronic health records to improve quality and patient safety.
Information Technology (IT) implements, supports and maintains all systems at Hawai'i Pacific Health facilities. The department encompasses the people, records and activities that process the data and information in the organization. The team provides support to users, and acts as the key liaison between the business community and vendors. It also codes, defines criteria, performs testing and debugging, and maintains programs in order to meet the informational needs of Hawai'i Pacific Health's numerous facilities and administrative offices.
As the Senior AI Engineer, you will design, develop, integrate and support secure enterprise artificial intelligence solutions that meet both client and organizational needs. In this role, you will serve as a technical leader for Hawai'i Pacific Health's AI ecosystem, including custom agentic AI solutions, third-party AI application integrations, cloud and on-premises AI platforms, and AI-enabled robotic process automation. This position supports the advancement of operational workflows across Hawai'i Pacific Health by delivering reliable, scalable, and compliant AI capabilities.
Location: Harbor Court
Work Schedule: Day - 8 Hours
Work Type: Full Time Regular
FTE: 1.000000
Bargaining Unit: Non-Bargaining
Exempt: Yes
Req ID 34151
Pay Range: 148,013 - 185,016 USD per year
Category: Information Technology
Minimum Qualifications: Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Information Systems, Health Care Informatics, or related field; or equivalent combination of education, training, certification, and/or related work experience. Five (5) years progressive professional experience in software engineering, data engineering, or machine learning engineering, enterprise application development, technical architecture, or comparable technical field. Three (3) years of hands-on experience designing, developing, integrating, or operating AI/ML solutions, including foundation model integration, custom AI workflows, model evaluation, production monitoring, and leading technical projects through requirements gathering, development, testing, deployment, and ongoing operational support. Five (5) years of progressively responsible experience across software engineering, data engineering, machine learning engineering, enterprise application development, technical architecture, or comparable technical domains.
Preferred Qualifications: Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Health Informatics or related field. Training or certification in AWS, AWS Bedrock, or comparable cloud-based AI services, and in UiPath or similar robotic process automation or workflow automation platforms. Direct experience integrating with Epic electronic medical record system and Epic interoperability technologies, including HL7, FHIR, and SMART on FHIR. Experience working within a health care provider organization, preferably a multi-hospital system or integrated delivery network. Experience developing AI, automation, or analytics solutions that leverage enterprise data warehouses, data lakes/lake houses, curated data sets, vector stores, or embedding stores. Experience working with on-premises GPU/AI servers, local model hosting, open-source AI tools, model serving frameworks, and secure handling of localized data. Experience implementing AI-enabled robotic process automation and integrating RPA platforms with APIs, AI models, and workflow logic. Experience building and maintaining production-grade generative agents and secure APIs/integrations with enterprise systems. Experience integrating third-party AI applications, performing technical due diligence, coordinating vendor interfaces, and validating security, interoperability, supportability, and measurable value. Experience mentoring engineers, developers, analysts, or project team members, or serving as a technical lead for cross-functional delivery teams. Hands-on experience with cloud-based AI frameworks or managed foundation model services such as AWS Bedrock, Amazon SageMaker, or comparable enterprise AI platforms.
EOE/AA/Disabled/Vets
Hawai'i Pacific Health offers a comprehensive and competitive total rewards package that includes pay and benefits. Rate of pay for selected candidates will be determined by various factors including knowledge, skills, abilities, relevant experience and training, as well as internal peer equity.