Engineering Intern, Agentic AI Systems
University of Alaska Fairbanks Petroleum Engineering
About the Role
A junior professional role focused on developing and supporting edge AI engineering programs in digital health. Offers opportunities for professional development with industry-leading education, training, and certifications.
Key Responsibilities
- Leading regulated development, validation, release, and US FDA approval activities for intelligent digital health applications, native to the Healthius.ai Platform and running in high-performance edge compute environments, such as:
- The Qualcomm Snapdragon Microsoft SQ3 chipset (8cx Gen 3, including a proprietary Qualcomm Adreno GPU), embedded in the Microsoft Surface Pro 9 (5G) device.
- The Qualcomm Snapdragon 8+ Gen 1 Mobile Platform chipset (SD8475, including the Qualcomm Adreno 730 GPU), embedded in the Motorola Razr+ (5G) device.
- Developing regulatory-grade, proof-of-concept edge AI models, on a roadmap for release and deployment into the Healthius.ai Platform, and validating performance in high-performance cloud and edge compute environments and testbeds, such as:
- InterSystems Smart Data Fabric.
- Snowflake Business Critical.
- Qualcomm Adreno OpenCL ML SDK (for federated learning).
- Supporting the regulatory-grade evolution of Cybersecurity Security Operations (Cyber SecOps) for the Healthius.ai Platform, comprising contemporary approaches to privacy, identity, observability, security hygiene, and incident response.
- Supporting the writing, production, and content management of the regulated Device Master Record product lifecycle documentation, under document control and in conformance with US FDA Software-as-a-Medical Device (“SAMD”) regulations and recognized standards.
- Supporting the writing, production, and content management of procedures, policies, work instructions, and guidance, in support of information governance and deployment of MIS and Cyber SecOps.
- Participating in regulatory-grade Clinical Operations (“ClinOps”), as may be undertaken for the validation of intelligent digital health applications under conditions of actual use.
- Daily management and tracking of projects, tasks, and milestones through effective use of Project and Program Management Systems (e.g., Microsoft Planner).
- Demonstrable commitment to continuous professional development, including developing and maintaining skills to effectively utilize state-of-the-art business and productivity applications, management information systems, and office equipment. Ongoing testing and certifications may be expected.
Requirements & Tech Stack
- 3+ years of experience in the business workplace, with demonstrable, positive results. Low-experience candidates committed to accelerated professional development will also be considered.
- Knowledge of theories, principles, and concepts typically acquired through completion of a Bachelor's degree in Electrical Engineering, Software Engineering, Biomedical Engineering, or a related field.
- Excellent leadership, decision-making skills, communication (both oral and written), interpersonal, and presentation skills.
- Excellent time management, planning, and teamwork skills.
- Passion for building and scaling high-performance business processes and systems.
- Demonstrable understanding of contemporary MIS, cybersecurity, productivity, customer relationship management, creative, and content management applications (e.g., Microsoft 365, Microsoft Dynamics, Microsoft Power Platform, Crowdstrike, etc.).