AI Solutions Engineer

Company: Mirion

Location: United States (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-16

About this role

The AI Solutions Engineer will be embedded within Mirion’s Medical business units and partners directly with manufacturing, quality, service, and business teams to identify opportunities for improvement and deliver AI-driven solutions that produce measurable operational results. The ideal candidate combines strong software engineering skills with hands-on AI expertise and thrives in fast-paced environments where business impact is the primary measure of success.

Reporting directly to the Chief AI & Digital Officer, this position offers direct exposure to enterprise AI strategy while providing the autonomy to build and deploy solutions that improve how the business operates.


Key Areas of Responsibility:
Identify and Prioritize Business Opportunities

  • Embed within Medical business units to develop a deep understanding of operational workflows, challenges, and priorities.
  • Participate in leadership meetings, observe manufacturing operations, and collaborate closely with quality, service, engineering, and product teams.
  • Identify manual, repetitive, error-prone, or inefficient processes that may benefit from automation or AI-driven improvements.
  • Translate business challenges into clearly defined technical solutions and develop business cases that support prioritization and investment.

Design, Develop, and Deploy AI Solutions

  • Design and implement AI-powered applications that address operational challenges across manufacturing, quality, service, and administrative functions.
  • Develop computer vision solutions for applications such as visual inspection, defect detection, anomaly identification, and image-based quality assurance.
  • Build and deploy agentic AI and large language model (LLM)-based solutions to automate workflows, enhance decision-making, and improve operational efficiency.
  • Own the full product lifecycle, including solution design, prototyping, pilot implementation, production deployment, user adoption, and ongoing improvement...

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