Senior Staff AI / ML Solutions Engineer
Thermo Fisher Scientific1 day ago
Remote, United States or Morrisville, NC, USAStaff+
Base Salary
$138k - $208k/yr
Responsibilities
- Lead technical delivery of AI projects, including architecture, implementation plans, dependencies, acceptance criteria, and production delivery.
- Identify Finance AI use cases, assess feasibility, establish measurable outcomes, and translate business needs into technical requirements.
- Design, build, integrate, evaluate, deploy, monitor, and improve generative AI and machine learning applications.
- Implement data pipelines, APIs, enterprise integrations, workflow orchestration, monitoring, support, and operational handoff processes.
- Collaborate with IT, architecture, cybersecurity, privacy, and data governance teams to meet applicable requirements.
- Apply software engineering practices including version control, code review, testing, documentation, and automated deployment.
- Communicate technical recommendations, tradeoffs, risks, limitations, and results to technical and business audiences.
- Mentor junior data scientists and engineers through design reviews, code reviews, and collaborative problem-solving.
Requirements
- Advanced degree plus 6 years of relevant technical and AI experience, or a bachelor’s degree plus 8 years of relevant technical and AI experience; equivalent experience may be considered.
- Experience serving as the technical lead for AI or advanced analytics projects delivered into production.
- Strong hands-on proficiency in Python and SQL, including maintainable applications and data integrations.
- Experience developing generative AI solutions with 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.
- Knowledge of data architecture, ETL/ELT, data quality, access controls, version control, testing, CI/CD, and collaborative development tools.
- Strong communication skills and demonstrated ability to guide technical contributors and coordinate cross-functional delivery.
- Preferred experience includes enterprise AI and productivity use cases, PySpark, Apache Spark, Delta Lake, enterprise data models, semantic layers, predictive modeling, statistical analysis, Azure DevOps, and JIRA.
- Must be legally authorized to work in the United States without sponsorship and able to pass a comprehensive background check including drug screening.
Benefits
- Remote US position for qualified candidates, with EST or CST preference.
- Standard Monday-Friday work schedule in an office-based work environment.
- As-needed travel may be required at 0-20%.
- Relocation assistance is not provided.
- May be eligible for a variable annual bonus based on company, team, and/or individual performance.
Tech Stack
Categories
About Thermo Fisher Scientific
Thermo Fisher Scientific builds analytical instruments, lab equipment and consumables, specialty diagnostics, and provides pharma services (CDMO and clinical research) for biotech, pharma, academic, and healthcare customers. It earns revenue through product sales, e-commerce distribution (Fisher Scientific), and contract services under brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Patheon, and PPD. Headquartered in Waltham, MA, it is publicly traded on the NYSE (TMO) and was created by the 2006 merger of Thermo Electron and Fisher Scientific.