Sr. Manager, Gen AI Software Engineering

Thermo Fisher Scientific

Pleasanton, California

JOB DETAILS
SKILLS
Algorithms, Application Programming Interface (API), Architectural Analysis, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Audio Engineering, Automation, Background Investigation, Benchmarking, Bioinformatics, Communication Skills, Computer Science, Corporate Policies, Cost Control, Data Modeling, Data Science, Database Analysis, Deep Learning, Dental Insurance, Emerging Technology, Establish Priorities, Genetics, Healthcare, Healthcare Software, Incentive Programs, Information/Data Security (InfoSec), Internet Security, Leadership, Life Insurance, Machine Learning, Mathematics, Mentoring, Microsoft Windows Azure, Product Development, Productivity Management, Programming Tools, Project Engineering, Proof of Concept, Prototyping, Software Development, Software Engineering, Software as a Service (SaaS), Statistics, Stock Purchase Plans, System Architecture, Team Lead/Manager, Team Player, Technical Leadership, Traceability, Use Cases, Vision Plan
LOCATION
Pleasanton, California
POSTED
26 days ago

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Senior Manager, Applied GenAI Engineering – Scientific AI Applications 

Location:  This is a fully onsite position based at our Pleasanton, CA site. Unfortunately, relocation assistance is NOT provided.  

  • Must be legally authorized to work in the United States without sponsorship now or in the future. Must be
  • Must be able to pass a comprehensive background check, which includes a drug screen. 


ThermoFisher Scientific is seeking a Senior Manager, Applied GenAI Engineering – Scientific AI Applications to lead the development of practical, high-impact Generative AI solutions for the Genetic Sciences business. 

Division: Genetic Sciences 

Discover Impactful Work 

  • This is a hands-on technical leadership role with strong software engineering judgment, deep understanding of modern AI systems, and the ability to bring structure to new and emerging technology. The ideal candidate understands the foundations of AI and can translate emerging capabilities into reliable, scalable, and secure products for scientific and healthcare applications. 
  • You will lead a focused team of AI engineers, software engineers, data scientists, and algorithm developers to build GenAI-powered applications, assistants, agents, and productivity tools that improve how scientific knowledge is captured, searched, reasoned over, and applied. 
  • We are looking for a pragmatic, hands-on, intellectually curious technical leader who can move effectively between strategy, architecture, experimentation, and team leadership. 

Key Responsibilities 

  • Lead the design, development, evaluation, and deployment of GenAI-powered applications, assistants, automation agents, and AI-enabled product development tools.  

  • Partner with product and business teams to define AI use cases, prioritize opportunities, and align solutions with customer needs and business goals.  

  • Define secure, scalable, and cost-effective AI architectures using LLMs, retrieval-augmented generation, agentic workflows, fine-tuning, structured evaluation, and human-in-the-loop feedback.  

  • Build and guide prototypes, proof-of-concepts, and production implementations using modern GenAI frameworks, APIs, cloud services, and software engineering practices.  

  • Develop domain-specific AI capabilities that leverage ThermoFisher Scientific’s Genetic Sciences knowledge, data, workflows, and product expertise.  

  • Partners with IT, data platform, cybersecurity, and cloud teams to enable infrastructure for model experimentation, fine-tuning, deployment, monitoring, and governance.  

  • Establish practical AI evaluation methods, including benchmarks, accuracy measurement, robustness testing, hallucination reduction, traceability, security, latency, and cost optimization.  

  • Stay current with advances in Generative AI, agentic systems, model architectures, evaluation techniques, and AI engineering practices, and apply them to scientific and healthcare challenges.  

Keys to Success 

  • The successful candidate will be someone who can: 
  • Understand the mathematical and technical principles behind modern AI systems, not just use AI APIs.  

  • Build and guide GenAI applications from concept through production deployment.  

  • Turn high-potential, ambiguous ideas into executable technical roadmaps.  

  • Lead by example through hands-on technical contribution, sound engineering judgment, and strong collaboration.  

  • Inspire teams with enthusiasm, curiosity, and a practical “can-do” mindset.  

Education and Experience 

 

  • Master’s degree or higher in Computer Science, Data Science, Bioinformatics, Statistics, Mathematics, Engineering, or a related technical field.  

  • 8+ years of experience in software engineering, AI/ML, data science, or applied algorithm development.  

  • 2+ years of experience leading teams, projects, or engineering initiatives.  

  • Strong hands-on experience building AI/ML or GenAI systems using Python and modern AI/ML libraries.  

  • Solid understanding of machine learning fundamentals, statistics, probability, optimization, deep learning, embeddings, transformers, and LLM behavior.  

  • Experience developing GenAI applications using platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, Azure OpenAI, or similar.  

  • Experience with retrieval-augmented generation, prompt engineering, vector databases, evaluation frameworks, agentic workflows, or model fine-tuning.  

Knowledge, Skills, and Abilities 

  • Demonstrated ability to mentor technical talent and build a high-performing engineering culture.  

  • Strong technical judgment and ability to make architecture decisions in rapidly evolving technical areas.  

  • Excellent problem-framing skills for ambiguous or early-stage AI opportunities.  

  • Strong communication skills with the ability to explain complex AI concepts clearly.  

  • Ability to collaborate across software, science, product, data, cybersecurity, IT, and business teams.  

  • Practical understanding of responsible AI, data security, model limitations, and real-world AI deployment risks.  

Compensation and Benefits

The salary range estimated for this position based in California is $163,100.00–$271,800.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs

  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement

  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

  • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

About the Company

T

Thermo Fisher Scientific

Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science. Our mission is to enable our customers to make the world healthier, cleaner and safer. With revenues of nearly $11 billion, we have approximately 37,000 employees and serve customers within pharmaceutical and biotech companies, hospitals and clinical diagnostic labs, universities, research institutions and government agencies, as well as in environmental and process control industries. We create value for our key stakeholders through two premier brands, Thermo Scientific and Fisher Scientific, which offer a unique combination of continuous technology development and the most convenient purchasing options. Our products and services help accelerate the pace of scientific discovery, and solve analytical challenges ranging from complex research to routine testing to field applications.

All of our employees share a common set of values - Integrity, Intensity, Innovation and Involvement. Our ability to grow year after year is driven by our ability to attract, develop and retain world-class people who will thrive in our environment and share in our desire to improve mankind by enabling our customers to make the world healthier, cleaner and safer.

If you share in our values and if you're looking for an employer who is strongly committed to developing talent and rewarding achievement, come grow with us at Thermo Fisher Scientific.

Thermo Fisher Scientific is an Equal Employment Opportunity and Affirmative Action employer.

COMPANY SIZE
10,000 employees or more
INDUSTRY
All
WEBSITE
https://corporate.thermofisher.com/en/home.html