Idaho National Laboratory is hiring a Power Platform & Automation Engineer to work in HR's Product Experience & Insights team, which is part of HR Operations. In this role, you will empower HR professionals who recruit, develop, and support researchers and scientists driving the nation's nuclear energy and national security missions. Your work will ensure HR teams have modern tools, streamlined processes, and intelligent systems, directly enabling the lab to attract and retain talent. As a member of the HR Product Experience & Insights team, you will meet with HR teams to understand their workflows, then design and build PowerApps, Power Automate workflows, Power BI dashboards, and AI-powered solutions. You will evaluate whether automation or a new system is the right fix and own solutions end-to-end. The HR Product Experience & Insights team functions as an internal digital creative agency, focusing on making it easier to be an employee, manager, and HR professional at INL. The team consolidates five disciplines: Systems Strategy, Business Analysis, Automation Engineering, UX Research & Design, and Data Analytics. The Power Platform & Automation Engineer serves as the build engine for PEI, translating discovery work into delivered application and automation products. You will document customer needs, iterate through tangible drafts, and work agilely. This role requires understanding business needs to determine if automation, a workflow, or a new system is the appropriate solution. You will own solution delivery, primarily using the Microsoft Power Platform (PowerApps, Power Automate, Power BI), but also capable of building custom solutions in Python (Django, Flask), .NET, or other platforms when necessary. AI engineering, including Python, generative AI, prompt engineering, and agentic automation using tools like Microsoft Copilot Studio, Claude, and other custom platforms, is also a key component. This role is driven by the growing demand for continual optimization and systems replacement within HR. Success is measured by increased efficiency, higher quality work, and improved job satisfaction for the users.
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Job Type
Full-time
Career Level
Entry Level