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Senior Staff AI / ML Solutions Engineer

Morrisville, North Carolina, United States of America

Actively hiring, first seen by us 8 days ago
Pay
USD 138,000–208,000/year — pay source
*Must be able to pass a comprehensive background check, which includes a drug screening. The annual salary range estimated for this position in North Carolina is $138,000 - $208,000 USD. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.
Read the full posting
Work setting
Remote — work setting source
May require as-needed travel (0-20%). Location: EST or CST remote US. Relocation assistance is NOT provided. *Must be legally authorized to work in the United States without sponsorship.
Read the full posting
Employment
Not stated

Before you apply

Work authorization
Must already have the right to work in the US*Must be legally authorized to work in the United States without sponsorship

What you’ll work on

Full posting
  • Lead technical delivery of AI projects from architecture through production

  • Design, build, and integrate generative AI and ML applications with enterprise data

  • Establish evaluation approaches for AI output quality and human review

  • Build data pipelines, APIs, and enterprise integrations for AI solutions

  • Mentor junior data scientists and engineers through design and code reviews

From the employer’s posting
Lead the technical delivery of AI projects, defining solution architecture, implementation plans, dependencies, and acceptance criteria.
Design, build, and integrate AI applications using generative AI, machine learning, enterprise data, and workflow automation as appropriate to the business problem.
Establish evaluation approaches for AI outputs, including quality, robustness, and appropriate human review.
Design and implement the data pipelines, APIs, and enterprise integrations needed to support AI solutions.
Mentor junior data scientists and engineers through design reviews, code reviews, and collaborative problem-solving.

What you’ll bring

All qualifications

Core experience

  • Demonstrated experience serving as the technical lead for AI or advanced analytics projects, including delivery into production.
  • Practical experience developing generative AI solutions using platforms such as Azure OpenAI or Amazon Bedrock.
  • Experience integrating AI models with enterprise data and applications, including retrieval-augmented generation, APIs, and workflow orchestration.
  • Ability to evaluate AI solution quality and explain limitations, technical tradeoffs, and deployment considerations.
  • Experience with cloud services and data platforms such as AWS, Azure, Snowflake, or Databricks.
  • Experience using version control, testing, CI/CD, and collaborative development tools.

Preferred experience

  • Experience applying AI to processes, analytics, or enterprise productivity.
  • Experience with distributed data processing technologies such as PySpark, Apache Spark, and Delta Lake.
  • Experience designing and implementing enterprise data models and semantic layers that support consistent business definitions, analytics, and AI applications
  • Experience with predictive modeling and statistical analysis
Qualification wording
Demonstrated experience serving as the technical lead for AI or advanced analytics projects, including delivery into production.
Practical experience developing generative AI solutions using platforms such as Azure OpenAI or Amazon Bedrock.
Experience integrating AI models with enterprise data and applications, including retrieval-augmented generation, APIs, and workflow orchestration.
Ability to evaluate AI solution quality and explain limitations, technical tradeoffs, and deployment considerations.
Experience with cloud services and data platforms such as AWS, Azure, Snowflake, or Databricks.
Experience using version control, testing, CI/CD, and collaborative development tools.
Experience applying AI to processes, analytics, or enterprise productivity.
Experience with distributed data processing technologies such as PySpark, Apache Spark, and Delta Lake.
Experience designing and implementing enterprise data models and semantic layers that support consistent business definitions, analytics, and AI applications
Experience with predictive modeling and statistical analysis
Education & alternatives
What you’ll need: - Advanced degree and 6 years of computer science, data science, engineering, or a related technical field and AI experience, or Bachelor’s degree and 8 years of computer science, data science, engineering, or a related technical field and AI experience. - Demonstrated experience serving as the technical lead for AI or advanced analytics projects, including delivery into production.

Posting record

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20268 days ago
Recorded sightings
9
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 8

Similar jobs usually come down between day 4 and day 77.

At Thermo Fisher Scientific, jobs usually come down by about day 40.

From 51 similar postings that came down, and 120 of Thermo Fisher Scientific’s. Coming down is not always a hire.

Thermo Fisher Scientific is hiring

76 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • Delta Lake
  • Snowflake
  • Spark
  • PySpark
Where the posting names them
- Demonstrated experience serving as the technical lead for AI or advanced analytics projects, including delivery into production. - Strong hands-on proficiency in Python and SQL, with experience building maintainable applications and data integrations. - Practical experience developing generative AI solutions using platforms such as Azure OpenAI or Amazon Bedrock.
- Ability to evaluate AI solution quality and explain limitations, technical tradeoffs, and deployment considerations. - Experience with cloud services and data platforms such as AWS, Azure, Snowflake, or Databricks. - Working knowledge of data architecture, ETL/ELT processes, data quality, and access controls.
- Strong hands-on proficiency in Python and SQL, with experience building maintainable applications and data integrations. - Practical experience developing generative AI solutions using platforms such as Azure OpenAI or Amazon Bedrock. - Experience integrating AI models with enterprise data and applications, including retrieval-augmented generation, APIs, and workflow orchestration.
- Experience with predictive modeling and statistical analysis - Experience using Azure DevOps or JIRA within Agile delivery teams. At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:
- Experience applying AI to processes, analytics, or enterprise productivity. - Experience with distributed data processing technologies such as PySpark, Apache Spark, and Delta Lake. - Experience designing and implementing enterprise data models and semantic layers that support consistent business definitions, analytics, and AI applications

Your next step

Complete your application on thermofisher.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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About Thermo Fisher Scientific

People
About 125,000 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as TMO.
H-1B visas
48 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 173 people. The latest was filed January 27, 2026.State WARN notices

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

At Thermo Fisher Scientific, our Finance teams play a critical role in enabling informed, strategic decision-making that advances our Mission to enable our customers to make the world healthier, cleaner, and safer. Across FP&A, Tax, Treasury, Financial Reporting, Audit, Investor Relations, Strategy & Corporate Development, and Accounting, our global Finance organization provides diverse opportunities to shape business outcomes, drive innovation, and build meaningful career experiences.


We have a new opening within the Clinical Research Group (CRG) of Thermo Fisher for a Senior Staff AI/ML Solutions Engineer to support the Finance organization and serve as the hands-on technical lead for AI initiatives that improve finance business processes, decision-making, and productivity. You will translate business needs into practical AI solutions and lead their technical delivery from discovery and architecture through development, evaluation, deployment, and ongoing improvement.


This is a senior individual contributor role with responsibility for technical direction and project outcomes. You will collaborate across business and technology teams and provide technical guidance and mentoring to junior colleagues. People management may be included as business needs evolve, while hands-on technical leadership remains the primary responsibility.


This is a band 8 Remote position for qualified candidates in the US (EST or CST preference).


What you’ll do:

  • Lead the technical delivery of AI projects, defining solution architecture, implementation plans, dependencies, and acceptance criteria.
  • Partner with finance and other business stakeholders to identify valuable AI use cases, assess feasibility, and establish measurable outcomes.
  • Design, build, and integrate AI applications using generative AI, machine learning, enterprise data, and workflow automation as appropriate to the business problem.
  • Develop prototypes and production solutions, selecting technologies based on accuracy, reliability, security, scalability, performance, and cost.
  • Establish evaluation approaches for AI outputs, including quality, robustness, and appropriate human review.
  • Design and implement the data pipelines, APIs, and enterprise integrations needed to support AI solutions.
  • Collaborate with IT, architecture, cybersecurity, privacy, and data governance teams to meet applicable requirements throughout development and deployment.
  • Apply sound software engineering practices, including version control, code review, testing, documentation, and automated deployment.
  • Define monitoring, support, and operational handoff requirements; investigate issues and improve deployed solutions.
  • Communicate technical recommendations, tradeoffs, project risks, and results to technical and business audiences.
  • Mentor junior data scientists and engineers through design reviews, code reviews, and collaborative problem-solving.

What you’ll need:

  • Advanced degree and 6 years of computer science, data science, engineering, or a related technical field and AI experience, or Bachelor’s degree and 8 years of computer science, data science, engineering, or a related technical field and AI experience.
  • Demonstrated experience serving as the technical lead for AI or advanced analytics projects, including delivery into production.
  • Strong hands-on proficiency in Python and SQL, with experience building maintainable applications and data integrations.
  • Practical experience developing generative AI solutions using platforms such as Azure OpenAI or Amazon Bedrock.
  • Experience integrating AI models with enterprise data and applications, including retrieval-augmented generation, APIs, and workflow orchestration.
  • Ability to evaluate AI solution quality and explain limitations, technical tradeoffs, and deployment considerations.
  • Experience with cloud services and data platforms such as AWS, Azure, Snowflake, or Databricks.
  • Working knowledge of data architecture, ETL/ELT processes, data quality, and access controls.
  • Experience using version control, testing, CI/CD, and collaborative development tools.
  • Strong communication skills and the ability to translate business needs into technical requirements and delivery plans.
  • Demonstrated ability to guide technical contributors and coordinate delivery across functions

Preferred Qualifications:

  • Experience applying AI to processes, analytics, or enterprise productivity.
  • Experience with distributed data processing technologies such as PySpark, Apache Spark, and Delta Lake.
  • Experience designing and implementing enterprise data models and semantic layers that support consistent business definitions, analytics, and AI applications
  • Experience with predictive modeling and statistical analysis
  • Experience using Azure DevOps or JIRA within Agile delivery teams.

At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:


  • Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.
  • Able to work upright and stationary for typical working hours. 
  • Ability to use and learn standard office equipment and technology with proficiency.
  • Able to perform successfully under pressure while prioritizing and handling multiple projects or activities. 
  • May require as-needed travel (0-20%). 

Location: EST or CST remote US. Relocation assistance is NOT provided.

*Must be legally authorized to work in the United States without sponsorship.

*Must be able to pass a comprehensive background check, which includes a drug screening.



The annual salary range estimated for this position in North Carolina is $138,000 - $208,000 USD. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.

Source details

View original posting ↗

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Pay
*Must be able to pass a comprehensive background check, which includes a drug screening. The annual salary range estimated for this position in North Carolina is $138,000 - $208,000 USD. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.
Location & working pattern

Morrisville, North Carolina, United States of America

This is a senior individual contributor role with responsibility for technical direction and project outcomes. You will collaborate across business and technology teams and provide technical guidance and mentoring to junior colleagues. People management may be included as business needs evolve, while hands-on technical leadership remains the primary responsibility. This is a band 8 Remote position for qualified candidates in the US (EST or CST preference). What you’ll do:
More source context
- May require as-needed travel (0-20%). Location: EST or CST remote US. Relocation assistance is NOT provided. *Must be legally authorized to work in the United States without sponsorship.
Work authorization
Location: EST or CST remote US. Relocation assistance is NOT provided. *Must be legally authorized to work in the United States without sponsorship. *Must be able to pass a comprehensive background check, which includes a drug screening.

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