Engineering Intern, Agentic AI Systems

University of Alaska Fairbanks Petroleum Engineering

Baxter, TN3+ yrs46m agovia LinkedIn

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.).

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