Thermo Fisher Scientific

VP, AI Solutions

Thermo Fisher Scientific

full-time

Posted on:

Location Type: Remote

Location: Remote • California • 🇺🇸 United States

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Salary

💰 $300,000 per year

Job Level

Lead

About the role

  • Lead solution design for global clients in the data/AI ecosystem, ensuring offerings align with customer needs and market trends.
  • Partner with LLM providers and enterprises to design and implement data workflows including labeling, annotation, localization, and RLHF.
  • Build and enforce quality frameworks for data to ensure accuracy, reliability, and scalability.
  • Design and optimize multi-modal workflows (text, audio, video, image, and sensor data).
  • Drive pre-sales engagements including RFP responses, pricing strategies, solution presentations, and customer workshops.
  • Lead and inspire a multi-cultural, cross-functional team across geographies.
  • Collaborate with product, delivery, and research teams to align solution design with innovation roadmaps.
  • Represent the company as a thought leader in industry forums, client discussions, and strategic partnerships.
  • Foster a startup mindset and growth-oriented culture, balancing agility with scale.

Requirements

  • Proven track record of solution design and pre-sales in the AI Data, LLM, or ML Ops ecosystem.
  • Direct experience with leading LLM providers, delivering solutions for data labeling, annotation, localization, and RLHF workflows.
  • Strong background in quality frameworks for data and assurance processes.
  • Hands-on expertise in multi-modal workflows spanning text, vision, speech, and more.
  • Demonstrated ability to lead multi-cultural teams in global, fast-paced environments.
  • Startup mindset with the ability to scale operations while remaining agile.
  • Excellent communication and presentation skills, with experience engaging C-level stakeholders.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
solution designdata workflowsdata labelingdata annotationlocalizationRLHFquality frameworksmulti-modal workflowsAI DataML Ops
Soft skills
leadershipcommunicationpresentation skillsteam collaborationcross-functional teamworkcultural sensitivityagilitygrowth-oriented mindsetcustomer engagementstrategic thinking
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