AI Solutions Engineer

Mirion

7d

About The Position

The AI Solutions Engineer works within Mirion’s Medical business units, partnering with manufacturing, quality, service, and business teams to identify improvement opportunities and deliver AI-driven solutions with measurable operational results. The role combines software engineering and hands-on AI expertise, with business impact as the primary measure of success.

Reporting directly to the Chief AI & Digital Officer, the position provides exposure to enterprise AI strategy and autonomy to build and deploy solutions that improve business operations. The engineer identifies operational challenges, translates them into technical solutions and business cases, and designs, develops, and deploys AI applications across manufacturing, quality, service, and administrative functions. Solutions may include computer vision, agentic AI, and large language model applications.

The role owns the full product lifecycle, from design and prototyping through pilot implementation, production deployment, user adoption, and ongoing improvement. It also includes measuring business outcomes, communicating with stakeholders, supporting training and change management, and aligning solutions with enterprise architecture, security, governance, quality, documentation, validation, and applicable regulatory requirements.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical discipline, or equivalent practical experience.
• At least 5 years of experience developing and deploying production software, machine learning, or AI-based solutions.
• Experience with software engineering and cloud-based application development and deployment.
• Hands-on experience designing and implementing agentic AI or LLM-based solutions using LangChain, LangGraph, AutoGen, or similar frameworks.
• Strong Python programming experience and familiarity with APIs, cloud architectures, and production deployment practices.
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Working knowledge of DevOps, MLOps, software deployment, monitoring, and maintenance practices.
• Ability to independently identify opportunities, define solutions, and execute complex projects with minimal supervision.
• Excellent communication and stakeholder management skills, including explaining technical concepts to non-technical audiences.
• Ability to work independently in ambiguous environments and collaborate with cross-functional teams.

Nice To Haves

• Experience developing computer vision solutions using OpenCV, PyTorch, TensorFlow, or equivalent frameworks.
• Experience with Azure AI, AWS Bedrock, Databricks, OpenAI, Claude, or similar AI platforms and services.
• Experience in regulated industries such as medical devices, healthcare, pharmaceutical, life sciences, or highly regulated manufacturing.
• Familiarity with quality management systems and regulatory frameworks, including ISO 13485, FDA QSR, or QMSR requirements.
• Experience as an embedded, customer-facing, forward-deployed, or solutions-focused engineer.
• Knowledge of radiation therapy, nuclear medicine, dosimetry, diagnostic imaging, or related healthcare technologies.

Responsibilities

• Embed within Medical business units to understand operational workflows, challenges, and priorities.
• Participate in leadership meetings, observe manufacturing operations, and collaborate with quality, service, engineering, and product teams.
• Identify manual, repetitive, error-prone, or inefficient processes that may benefit from automation or AI.
• Translate business challenges into technical solutions and develop business cases to support prioritization and investment.
• Design and implement AI-powered applications for operational challenges across manufacturing, quality, service, and administrative functions.
• Develop computer vision solutions for visual inspection, defect detection, anomaly identification, and image-based quality assurance.
• Build and deploy agentic AI and LLM-based solutions to automate workflows, enhance decision-making, and improve operational efficiency.
• Own the solution lifecycle, including design, prototyping, pilot implementation, production deployment, user adoption, and ongoing improvement.
• Use enterprise platforms, services, and standards while maintaining a rapid, solution-oriented delivery approach.
• Communicate project objectives, progress, risks, and outcomes to business stakeholders in clear, non-technical language.
• Define success measures and monitor KPIs such as cycle time, throughput, quality, productivity, error reduction, and cost savings.
• Provide training, support, and change management guidance to encourage adoption and long-term success.
• Evaluate deployed solutions and implement enhancements based on user feedback and business needs.
• Partner with the Chief AI & Digital Officer and the broader AI & Digital organization to align with enterprise architecture, security, governance, and technology standards.
• Share best practices, reusable solutions, and implementation patterns across business units.
• Ensure solutions meet applicable quality, validation, documentation, and regulatory requirements in a medical and regulated environment.
• Collaborate with Quality, Regulatory, Engineering, IT, and Operational teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior