Senior Manager, Applied AI

🕒 vor 1 Monat

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $130.000 - $180.000 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 Künstliche Intelligenz

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 11%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Warum dieser Wert:

• Seit 49 Tagen offen.
• Stellen bei diesem Unternehmen werden meist in 26 Tagen besetzt.

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Thermo Fisher Scientific

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1956

🏥 Gesundheitswesen

📦 Logistik

🏭 Fertigung

Healthcare • Logistics • Manufacturing

Thermo Fisher Scientific ist der weltweite Marktführer im Dienste der Wissenschaft mit einem Jahresumsatz von mehr als 40 Milliarden US‑Dollar. Ihre Mission ist es, Kunden dabei zu unterstützen, die Welt gesünder, sauberer und sicherer zu machen – indem sie die lebenswissenschaftliche Forschung vorantreiben, komplexe analytische Herausforderungen lösen, die Produktivität in Laboren steigern und die Gesundheit von Patienten durch Diagnostik sowie die Entwicklung lebensverändernder Therapien verbessern. Mit einem globalen Team bietet das Unternehmen innovative Technologien und pharmazeutische Dienstleistungen über Marken wie Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon und PPD.

Beschreibung

• 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 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 design and implementation of enterprise-grade AI solutions using large language models, RAG, AI agents, orchestration frameworks and machine learning • Establish AI evaluation and operational practices including testing, monitoring, observability, performance measurement, reliability engineering and continuous improvement • Embed data protection, security, privacy, validation, compliance and responsible AI practices throughout the AI 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 strategic technology partners, vendors and contingent resources • Communicate with executive stakeholders • Provide technical oversight across solution design, engineering, evaluation, testing, deployment, observability, incident response and lifecycle management

🎯 Anforderungen

• 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 • 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 • Must be legally authorized to work in the United States without sponsorship • Must be able to pass a comprehensive background check, including drug screening

🏖️ Vorteile

• Variable annual bonus eligibility based on company, team, and/or individual performance results • As-needed travel of 0–20% • Remote work • Relocation assistance is NOT provided

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