Sr. Manager, Gen AI Software Engineering

• 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.

• 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., 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.

Pulled from the full job description

• Tuition reimbursement
• Paid parental leave
• Employee stock purchase plan
• Parental leave
• 401(k)
• Health insurance
• Paid time off, 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

We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics and increase laboratory productivity. With $1.4 billion invested annually in R&D, our collaborative and diverse teams have the resources they need to drive new discoveries and do cutting-edge research and develop important applications and tools that help millions of lives around the world.
Thermo Fisher Scientific Inc. is the world leader in serving science, with an annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team of more than 100,000+ colleagues deliver an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.