Senior Manager, Applied AI

Thermo Fisher Scientific

. Lead a portfolio of applied AI initiatives from opportunity definition and prioritization through technical design, development, production deployment, adoption and continuous improvement .

Posted 9/25/2026full-timeRemote • North Carolina • United StatesSenior💰 $130,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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