Sr. Manager, Gen AI Software Engineering
AI summary of the role
Lead Generative AI engineering within Thermo Fisher's Genetic Sciences division, managing a team to design, build, and deploy GenAI applications and domain-specific foundation models.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Lead design, development, and deployment of GenAI-driven applications including AI-powered assistants and automation agents
- Map, build, and train domain-specific foundation models around Genetic Sciences capabilities
- Architect and maintain scalable, secure, and cost-efficient AI model deployments in cloud environments
- Collaborate with senior leaders to translate strategic objectives into actionable engineering tasks
What you’ll bring
- Master's Degree in Computer Science, Data Science, Bioinformatics, Biomedical Engineering, or related field
- 8+ years in data science/AI with 2+ years in leadership roles in diagnostics, MedTech, biopharma, or healthcare
- Hands-on expertise with Python/R and deep learning frameworks like PyTorch/JAX
- Proficiency with Gen AI deployment models using OpenAI, Anthropic, or Gemini on Amazon Bedrock
Technologies
Generative AI · Agentic Computing · Large Language Models · PyTorch · JAX · OpenAI · Anthropic · Gemini · Amazon Bedrock · Docker · Kubernetes · Jenkins
About Thermo Fisher Scientific
Supplies life-science instruments, reagents, diagnostics, lab distribution, and pharma/CRO/CDMO services for researchers, clinicians, and biopharma manufacturers worldwide.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
drug screen. Discover Impactful Work: We are seeking a Senior Manager, Generative AI Software Engineering, with significant experience in Generative AI and Agentic Computing, as well as a robust background in full-stack development and scalable software architecture. This role focuses on executing Generative AI initiatives within our Genetic Sciences team. The ideal candidate is a pragmatic, hands-on engineering leader who can manage day-to-day operations, mentor a moderately sized team, and collaborate effectively across functions to deliver high-quality AI-systems and solutions. You will work with a core team of incredibly talented specialists and leverage the latest Generative AI algorithms and software technologies. A Day in the Life: Gen AI Products & Gen AI Productivity in Product Development within the Genetic Sciences industry: Work closely with senior leaders to
More from the job description
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner, and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Location/Division-Specific Information: Pleasanton, CA. Relocation assistance is NOT provided. *Must be legally authorized to work in the United States without sponsorship. *Must be able to pass a comprehensive background check, which includes a drug screen. Discover Impactful Work: We are seeking a Senior Manager, Generative AI Software Engineering, with significant experience in Generative AI and Agentic Computing, as well as a robust background in full-stack development and scalable software architecture. This role focuses on executing Generative AI initiatives within our Genetic Sciences team. The ideal candidate is a pragmatic, hands-on engineering leader who can manage day-to-day operations, mentor a moderately sized team, and [... source excerpt omitted ...] articipate in KOL engagements with companies and Academic institutions in the Gen AI and health and diagnostics market segment. Articulate use case scenarios and detailed product requirements with specific benchmarks aligned with product goals. Technical Leadership & Team Management: Collaborate with, lead, and mentor a team of AI engineers, data scientists, algorithm developers, and software developers to ensure successful project delivery. Keys to Success: Education and Experience Master's Degree in Computer Science, Data Science, Bioinformatics, Biomedical Engineering, or related field required. Deep understanding of domain-specific AI/ML training and inference, Large Langu
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