Quality Assurance Workflow Automation and Analytics Engineer

Consolidated Nuclear Security•Oak Ridge, TN

1d•Onsite

About The Position

The Quality Assurance Workflow Automation and Analytics Engineer works alongside Quality Assurance and Readiness Assurance staff to make essential day to day work faster, more consistent, and easier to verify. The role identifies manual and repetitive work that consumes professional time, then builds the automated workflows, digital forms, and AI-assisted tools which carry that work out reliably to accelerate assurance processes. Work is performed within site-approved platforms, and the role partners with Information Services and Digital Transformation on anything that crosses enterprise system boundaries.

Requirements

Bachelor’s degree OR 8 or more years of education and/or relevant experience may be considered to satisfy educational and years-of-experience requirements for this posting
Basic understanding of, or experience with, workflow automation tools, data visualization software (such as Tableau or PowerBi), and relational databases.
Demonstrated ability to write basic scripts or expressions (e.g., VBA, SQL, basic Python, or JavaScript) to manipulate data and link disparate interfaces.
Practical experience working with commercial large language models beyond the chat interface, including from a command line or through an application programming interface (API), and the ability to write instructions that return consistent, structured results that a script or database can use.
Sound judgment about the limits of AI-generated output, including the ability to explain why a model result cannot stand on its own as a quality record and to build in the verification steps that make it usable.
Basic knowledge of Microsoft Copilot and experience developing or configuring AI agents to automate workflows within enterprise environments.
Exceptional technical problem-solving, process-mapping, and communication skills; ability to translate complex operational steps into simple, automated digital pipelines.
Ability to obtain and maintain a Department of Energy "Q" clearance is required.

Nice To Haves

Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related technical discipline.
Newly graduated engineers with strong internship or academic project experience in workflow automation are encouraged to apply.
Demonstrated proficiency using advanced AI assistants to generate code, draft documentation, or optimize database queries, including the ability to review and test that work before it is used.
Experience setting up and managing automated digital workflows within a highly regulated environment, preferably a nuclear or aerospace facility.
Familiarity with Y-12 specific databases, processes, or tracking systems (e.g., RCAPTS, TOPIC, SAP).
Demonstrated experience presenting functional digital prototypes to technical teams and incorporating user feedback.
Experience building question and answer tools that draw on a defined set of documents and return answers traceable to the source material.
Experience building multi-step workflows in which a model retrieves information from a database or system and passes the result along to the next step.
Demonstrated experience developing, deploying, and optimizing agents using Microsoft Copilot or comparable enterprise AI platforms, including integrating Copilot-driven solutions with existing quality assurance workflows.
Experience checking AI-assisted work systematically, including building test cases, scoring accuracy, and confirming that changes have not degraded earlier results.
Experience pulling usable data out of scanned or legacy documents, including tables and PDF content.
Working proficiency in Python for data handling and simple integrations.
Experience working with tools inside a restricted or accredited network environment where outside services are not available.

Responsibilities

Design, build, and maintain automated quality assurance workflows and digital forms using site-approved systems such as Tableau, SharePoint, Microsoft CoPilot, SAP, PWM, and approved AI platforms.
Develop and test new digital quality oversight tools, workflows, and automated report generators to remove administrative redundancies and enhance process efficiency.
Partner with QA process owners to master mission-critical workflows, delivering engineered prompts, templates, agents, and/or scripts that convert manual tasks into dependable, AI-assisted workflows.
Drive each solution from concept to production on rapid, focused cycles.
Securely connect approved AI capabilities to QA data sources, coordinating with Information Services for enterprise-level system integration.
Design the review points, checks, and record keeping that make digital workflows verifiable, repeatable, and defensible within a nuclear quality program.
Test each tool against known cases before it is placed in use, and retest after changes to confirm it still performs as expected.
Collaborate with QA program leads to evaluate existing process maps, identify manual bottlenecks, and recommend modern digital solutions that can be rapidly prototyped and deployed to compress cycle times and move schedule velocity to the left.
Connect automated workflows to centralized tracking systems and interactive dashboards such as Tableau.
Build and maintain real-time status and analytics boards that monitor critical quality metrics, trends, and milestones, giving leadership actionable, data-driven insight.
Translate Quality Assurance process needs into clear technical requirements that Information Services and Digital Transformation partners can act on.
Serve as the QA point of contact for emerging digitization work, and turn user ideas into simple working prototypes that demonstrate value before larger investment is made.
Provide the scripting adjustments needed to troubleshoot and sustain existing QA office automations, ensuring daily operational reliability.
Support Organizational Continuous Improvement initiatives related to digital modernization and digital assurance.