Sr. Manager, Applied AI Engineering

Shape the future of enterprise AI at Bio‑Rad as the Senior Manager, Applied AI Engineering. Reporting to the Director of Emerging Technologies(AI/Automation), you'll lead the technical execution of Agentic AI, Machine Learning, and Automation AI solutions across global business functions. From building intelligent agent-based systems and RAG pipelines to deploying production ML models with robust monitoring for drift detection and continuous improvement, you'll transform cutting‑edge AI innovations into practical, high‑impact enterprise solutions.

You'll also collaborate with architects, product managers, and UX designers to deliver intuitive AI‑powered experiences that drive real business value.

• Architect intelligent systems by designing and deploying scalable AI/ML solutions—including multi‑agent frameworks, generative AI applications, and decision‑optimization engines—that solve complex business challenges across global operations
• Drive innovation to production by leading proof‑of‑concepts through full deployment, managing the complete AI lifecycle from model development through MLOps, LLMOps, and continuous performance monitoring
• Build for reliability at scale by implementing feedback loops, drift detection, and hallucination monitoring systems that ensure AI solutions remain accurate, explainable, and trustworthy in production
• Develop future AI leaders by mentoring a team of AI and ML engineers, fostering a culture of innovation, technical excellence, and continuous learning

• 10+ years of progressive experience in software engineering, data science, or AI/ML roles, with 5+ years designing and deploying ML models in production environments—plus a proven track record leading technical teams and technology pilots
• Expert‑level proficiency with ML frameworks (Tensor Flow, PyTorch, scikit‑learn) and generative AI frameworks (Lang Chain, Llama Index, Hugging Face), along with hands‑on experience integrating LLM APIs from providers like OpenAI, Gemini and Anthropic
• Strong cloud platform experience (AWS, Azure, or GCP) with knowledge of containerization, CI/CD pipelines, and MLOps practices for deploying performant, cost‑effective AI infrastructure
• A passion for turning emerging technologies into practical enterprise solutions, combined with strong communication skills to align technical initiatives with strategic business goals

Bio‑Rad is pleased to offer the flexibility of Remote Work for this role anywhere in the U.S.

At Bio‑Rad, we’re empowered by our purpose and recognize that our employees are as well. That’s why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio‑Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee’s work and life cycle.

We’re proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability, paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG’s), and more!

The estimated annual salary for this position is $143,000 to $246,600 at the time of posting. This range is inclusive of all geographic locations within the United States*. Actual compensation will be provided in writing at the time of an offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors.

This position is eligible for a variable annual bonus, which is dependent upon achievement of your individual objectives and Company performance.

• Minimum reflects our lowest paying…