AI Engineer

Requisition :
35187
At Terumo Blood and Cell Technologies, our 8,000+ global associates proud to come to work each day, knowing that what we do impacts the lives of patients around the world.
For Terumo, for Everyone, Everywhere.
We make medical devices and related products that are used to collect, separate, manufacture and process various components of blood and cells. With our innovative technologies and service offerings, we touch a patient’s life every second of every day and are committed to continuing to increase the number of patients we serve.
Advancing healthcare with heart.
With some of the best and brightest minds in the industry, an unmatched global footprint, comprehensive benefits and a distinct culture, Terumo Blood and Cell Technologies is a great place to work, grow and be part of a team that is focused on making a difference.
Join us and help shape wherever we go next. You create your future and ours.
AI Engineer
Job Summary
We are seeking a motivated AI Engineer who, working under general direction, designs, builds, and operates AI-enabled capabilities in production environments. Responsible for implementing reliable AI services, products, and workflows, integrating with enterprise systems, and applying practical engineering discipline to deliver secure, maintainable solutions under real constraints.
Essential Duties
Product Management

• Designs and implements AI-enabled services, products, and workflows, taking use cases from POC and prototype through production release and maintenance.
• Develops and maintain software components required to integrate AI capabilities into applications and operational workflows.
• Establishes reliable delivery practices for AI services, including automated build/release patterns and operational readiness.
• Monitors system behavior and performance, troubleshooting issues and driving improvements to reliability, latency, and cost.
• Applies practical MLOps practices appropriate to the solution (versioning, evaluation, monitoring signals, and safe rollout patterns).
• Reviews and improves code quality (including AI-assisted code) to ensure correctness, security, and maintainability.
• Partners with product and cross-functional stakeholders to translate requirements into deliverable scope, surfacing tradeoffs early and keeping work unblocked.
• Documents system behavior, operational procedures, and key design decisions to support long‑term supportability.

Responsible & Compliant AI

• Follow medical device quality system processes, documentation standards, and audit expectations.
• Support AI risk assessment, validation, traceability, and performance monitoring activities.
• Contribute to explainability, bias evaluation, and safety controls.
• Document best practices and key learnings to support organizational knowledge sharing.

Collaboration & Learning

• Partners and collaborates with business stakeholders, Digital Transformation team, ITS team members, and Terumo Corporate associates to deliver enterprise and corporate solutions
• Document methods, architecture decisions, and model evaluations.
• Engage in continuous learning on medical device regulations, AI governance, and emerging AI technologies.
• Mentor other team members and contribute to a collaborative, growth‑oriented team culture.

Other Duties And Responsibilities

• Participates in evaluation of tools and approaches that improve engineering productivity and operational reliability of AI systems.
• Contributes to shared engineering standards and best practices across AI projects.
• Supports knowledge sharing through documentation, demos, education events, and peer collaboration.

Minimum Qualification Requirements
Education
Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field; or equivalent education and experience sufficient to successfully perform the essential functions of the job may be considered.
Experience

• Minimum of 3 years of demonstrated experience building and operating production‑grade software services, including exposure to AI/ML or LLM‑based capabilities.
• Hands‑on experience deploying and supporting solutions in production environments (Azure preferred) that integrate with enterprise systems and data…