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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Manager, Gen AI Software Engineering - **Company:** Thermo Fisher Scientific Inc. - **Location:** Pleasanton, CA, United States - **Experience:** Expert - **Salary:** $163,100.0 - $271,800.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Algorithm Design, Microsoft Azure, Bioinformatics, Cloud Computing, Cyber Security, Data Infrastructure, Data Security, High-Level Architecture, Python (Programming Language), Machine Learning, Productivity Software, Cloud Services, Software Deployment, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Deep Learning, Generative AI, Scikit Learn, Information Technology, Low Latency - **Published:** July 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d8d778c23ed4c872 ## About the Role * 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. ## Description * 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. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Unleash the power of 5G in your code: transform your apps](https://www.wearedevelopers.com/videos/1567-unleash-the-power-of-5g-in-your-code-transform-your-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? 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