Sr. Manager, Gen AI Software Engineering

JOB DESCRIPTION

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

Required

• 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: