Senior Manager, Applied AI

🔥 2 hours ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $130k - $180k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 0%

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Thermo Fisher Scientific

WebsiteLinkedInAll Job Openings

10,000+ employees

🧬 Biotechnology

💊 Pharmaceuticals

🏥 Healthcare

Biotechnology • Pharmaceuticals • Healthcare

Thermo Fisher Scientific is the world leader in serving science, with a stated mission to enable customers to make the world healthier, cleaner and safer. The company provides a broad portfolio of laboratory instruments, analytical technologies, diagnostics, consumables, software and services that support life‑sciences research, analytical testing, clinical diagnostics and the development and manufacture of therapies. Its operations and offerings (as described on its site and in its news) include advanced imaging and electron microscopes, chromatography and mass‑spectrometry systems, genetic and clinical testing, lab automation and AI tools, bioprocessing and contract development/manufacturing services (brands cited include Thermo Scientific, Applied Biosystems, Invitrogen, Gibco, Fisher Scientific, Unity Lab Services, Patheon and PPD). Thermo Fisher reports annual revenue over $45 billion and emphasizes corporate social responsibility, environmental and community programs alongside its scientific products and services.

📋 Description

• Lead a portfolio of applied AI initiatives from opportunity definition and prioritization through technical design, development, production deployment, adoption, and continuous improvement • Establish technical roadmaps, delivery plans, success measures, and resource priorities across the AI portfolio • Provide technical and delivery leadership across generative AI, agentic AI, machine learning, and intelligent automation • Guide decisions on solution architecture, model and platform selection, data and knowledge architecture, orchestration, evaluation, and production engineering • Lead, coach, and develop multidisciplinary technical teams including AI engineers and data scientists • Establish ownership, accountability, and resource allocation based on business value, complexity, risk, dependencies, and capacity • Drive reusable enterprise AI platforms, components, services, APIs, and architectural patterns • Lead enterprise-grade AI solutions using large language models, RAG, AI agents, orchestration frameworks, machine learning, and emerging technologies • Improve AI evaluation, monitoring, observability, performance measurement, reliability engineering, and continuous improvement • Embed data protection, security, privacy, validation, compliance, and responsible AI practices throughout the solution lifecycle • Establish technical standards, reference architectures, and development patterns for enterprise AI • Partner with Product, Digital, Data, Architecture, Security, Quality, Compliance, and business teams • Manage delivery accountability across technology partners, vendors, and contingent resources • Communicate with executive stakeholders and provide technical oversight across design, engineering, evaluation, testing, deployment, observability, incident response, and lifecycle management

🎯 Requirements

• Bachelor's degree with 8–10 years of experience in artificial intelligence, machine learning, data science, software engineering, computer science, or a related technology field; or advanced degree plus 7 years of relevant experience • Experience leading AI or machine learning teams and complex technology portfolios in an enterprise environment • Experience taking AI solutions from concept and experimentation through production deployment, adoption, and ongoing operation at enterprise scale • Strong understanding of generative AI and large language model technologies, including RAG, agentic workflows, tool use, orchestration, grounding, model selection, prompt and context engineering, and production implementation patterns • Strong understanding of machine learning, data science, and modern AI architecture • Experience with Azure, AWS, or GCP and modern data, application, and AI architectures • Working knowledge of Python and modern AI/ML development frameworks • Experience designing or operating reusable AI platforms, services, APIs, data pipelines, or shared technical capabilities at scale • Understanding of AI evaluation, monitoring, model and application performance, data quality, observability, and production reliability • Experience operating within data governance, security, privacy, regulatory, and/or responsible AI frameworks • Experience managing external technology partners, consultants, or distributed delivery teams • Strong product and business acumen • Excellent communication and stakeholder-management skills • Life sciences or clinical research industry experience preferred • Must be legally authorized to work in the United States without sponsorship • Must be able to pass a comprehensive background check, including drug screening • Ability to communicate, receive, and understand information and ideas with diverse groups of people • Ability to work upright and stationary for typical working hours • Ability to use and learn standard office equipment and technology • Ability to perform successfully under pressure while prioritizing and handling multiple projects or activities

🏖️ Benefits

• Variable annual bonus eligibility based on company, team, and/or individual performance results • Remote work arrangement • As-needed travel limited to 0–20%

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