Sr. Manager, Gen AI Software Engineering

We need to output HTML fragment with sections: Use

for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We have content: Work Schedule Standard (Mon-Fri) Environmental Conditions Office – that's schedule info. Also location, relocation assistance, authorization, background check. That's maybe meta but not needed as heading. We have description: Senior Manager, Applied GenAI Engineering – Scientific AI Applications. Then "Division: Genetic Sciences Discover Impactful Work". That's about the role. Responsibilities: list of bullet points under "Key Responsibilities". We'll put under

Responsibilities

with

• . Requirements: maybe "Required Education and Experience". That's qualifications. We'll put under

  Qualifications

  or Requirements? The instruction says use headings like Requirements, Qualifications, Skills. We can decide. Probably "Required Education and Experience" fits Qualifications. Also there is "Keys to Success" maybe Skills? Could be Skills. Also "Knowledge, Skills, And Abilities" is Skills. Compensation And Benefits: includes salary range and benefits. So we need Pay and Benefits sections. Pay: salary range. Benefits: list of benefits. Schedule: we have "Work Schedule Standard (Mon-Fri)". Also maybe environmental conditions office. So we can include Schedule section. We must not repeat job title as heading. No Job ID etc. We must not include boilerplate like EEO etc. Not present. We must not include application instructions. Not present. We must not include filler like "commensurate with experience". Not present. We must ensure we only output sections with real content. Let's extract content. About the role: The paragraph after location? "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." We can put that under About the role. Responsibilities: bullet list under "Key Responsibilities". Let's capture each bullet: - 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. Qualifications: "Required Education and Experience" bullet points: - 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. Skills: "Knowledge, Skills, And Abilities" plus "Keys to Success". Let's combine. From 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. From Keys to Success (bullet style? Actually it's sentences): - 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. We can include these as Skills. Pay: salary range: "$163,100.00–$271,800.00". Also mention variable annual bonus. We'll include that. Benefits: list: - 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 - Link for more info (maybe we can include as a link but it's okay). The instruction: preserve ALL substantive information; we can include the URL as part of benefits. Schedule: "Work Schedule Standard (Mon-Fri) Environmental Conditions Office". Also 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 able to pass a comprehensive background check, which includes a drug screen." This could be part of Schedule or maybe a separate section like "Location & Eligibility". But we only have headings list; we could put location info under Schedule? Not ideal. Perhaps we can create a section "About the role" already includes location? Actually About the role currently does not include location. We could add location details there. But the instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can include location info under About the role or maybe under Schedule? The schedule heading is for work schedule; location is separate but we don't have a heading for location. Could we include location details in About the role? It's about the role, includes location. That seems okay. Thus About the role paragraph can include: "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 able to pass a comprehensive background check, which includes a drug screen." plus the earlier description. We must not repeat job title as heading; we already not. Now produce HTML fragment:

  About the role

  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. 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 able to pass a comprehensive background check, which includes a drug screen.

  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.

  Qualifications

  • 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.

  Skills