Sensata Technologies, Inc. logo

Senior AI Engineer

Sensata Technologies, Inc.

Attleboro, MAFull-time$116–159K/yrSeen 1w agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$116–159K/yr
Location
Attleboro, MA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Senior AI Engineer designs, builds, and operates production AI solutions across Sensata’s commercial organization and core functions. The role combines generative AI, agents, machine learning, and system integration to embed secure, scalable tools in day-to-day workflows. The engineer leads solutions from concept through production, partners with business and technical teams, and adapts across domains as enterprise priorities shift.

Skills & qualifications

RequiredNice to have

Skills

TeamworkCommunicationOrganizationPlanningTime ManagementIntegrityAccountabilityMicrosoft OfficeInterpersonal SkillsCollaborationPythonSQLAPIsSystem IntegrationCloud TechnologiesSoftware DevelopmentLarge Language ModelsIntelligent AgentsCopilotsRetrieval-Augmented GenerationOutput Quality EvaluationMachine LearningMLOpsSoftware TestingCI/CDDeployment AutomationProduction SupportEnterprise Platform IntegrationBusiness Application IntegrationData EcosystemsComputer VisionTime-Series AnalysisOptimizationSalesforceERPPLMMESManufacturingIndustrial ExperienceAzure

Qualifications

Bachelor's Degree or Equivalent Experience5+ Years Software Engineering2+ Years AI ExperienceAdvanced Degree in Related Field

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Tuition Assistance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Attleboro, Massachusetts

Full time

IRC98598

The Senior AI Engineer is a hands-on, full-stack AI engineer who designs, builds, and runs production AI solutions across Sensata's commercial organization and core functions, including Engineering, Quality, Operations, Supply Chain, and Procurement. The role combines generative AI, agents, machine learning, and system integration to turn high-value use cases into secure, scalable tools embedded in day-to-day workflows, and moves across domains as enterprise priorities shift.

General Responsibilities

  • Design, develop, and deploy production models, services, and pipelines that are reliable, scalable, and maintainable.

  • Partner with data science, product, data engineering, and platform teams to translate business problems into technical solutions.

  • Build and optimize model training, evaluation, deployment, monitoring, and retraining workflows.

  • Improve model performance, latency, cost efficiency, reliability, and explainability in production environments.

  • Develop reusable infrastructure, tooling, libraries, and patterns that accelerate team delivery.

  • Monitor deployed models for performance degradation, bias, drift, and operational issues; recommend and implement corrective actions.

  • Collaborate with stakeholders to communicate technical trade-offs, risks, timelines, and recommendations clearly.

  • Mentor engineers and contribute to technical standards, best practices, and architecture decisions.

  • Stay current with advances in practices.

Experience / Qualifications

  • A university degree required (i.e. Bachelors degree) or equivalent relevant work experience.

  • Must be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands

  • Strong communication skills; oral, written and presentation

  • Strong organization, planning and time management skills to achieve results

  • Strong personal and professional ethical values and integrity

  • Holds self-accountable to achieving goals and standards

  • Proficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)

  • Strong interpersonal & collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers

Additional Responsibilities :

  • Lead the development and deployment of enterprise AI applications from concept through production.

  • Build generative AI, agent, copilot, and retrieval-augmented generation (RAG) solutions for commercial use cases, such as lead triage and routing, account insights, and competitor and peer performance intelligence.

  • Build AI solutions for core functions, such as engineering design and FMEA support, quality diagnostics and root-cause analysis, supply chain planning, and procurement contract intelligence.

  • Put data science models (e.g., forecasting, scoring, anomaly detection, computer vision) into production as reliable services and APIs.

  • Integrate AI with enterprise systems such as Salesforce, ERP, PLM, MES, and quality systems so insights show up where people already work.

  • Build data pipelines that combine structured and unstructured data, including documents, engineering and test data, manufacturing data, and external market data.

  • Create reusable frameworks, components, and engineering standards that accelerate solution delivery across domains.

  • Establish testing, evaluation, and release criteria, including accuracy and source-grounding checks, plus adoption and business-impact metrics.

  • Own solutions end to end, from prototype through production support, and iterate directly with business users.

  • Apply security and access controls suited to sensitive data, including customer, pricing, financial, and engineering IP.

  • Partner with internal teams and external vendors to ensure AI solutions meet technical, security, and operational requirements.

Additional Qualifications :

  • 5+ years of software engineering experience delivering production applications, including 2+ years building AI, machine learning, generative AI, or intelligent automation solutions.

  • Strong proficiency in Python, SQL, APIs, system integration, cloud technologies, and modern software development practices.

  • Hands-on experience with large language models (LLMs), intelligent agents, copilots, and retrieval-augmented generation (RAG), including evaluating and monitoring output quality.

  • Working knowledge of machine learning and MLOps; exposure to computer vision, time-series, or optimization is a plus.

  • Knowledge of software testing, CI/CD, deployment automation, and production support best practices.

  • Experience integrating solutions with enterprise platforms, business applications, and data ecosystems; exposure to CRM (e.g., Salesforce), ERP, PLM, or MES preferred.

  • Proven ability to work across multiple business domains and quickly learn new processes; manufacturing or industrial experience preferred.

  • Azure, Azure AI services, Copilot Studio, Power Platform, or Databricks experience preferred.

  • Advanced degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field preferred.

#LI-SK1

Base Salary Range:

$115,620.00 - $158,983.00

At Sensata, our employees are the key to our success and growth. We recognize that each individual brings their own unique experience, therefore the base salary range information shown above is a general guideline only. Sensata considers several factors when extending an offer, including, but not limited to, a candidate’s experience and qualifications, as well as internal equity, market and business considerations. In addition to base salary, Sensata offers competitive medical, dental, vision, life and disability insurance plans, along with education reimbursement, wellness programs, a 401(k) retirement plan with Company matching, and a variety of paid time off, such as vacation or flex-time, sick, bereavement, and parental leave. Certain positions are also eligible for short-term incentive and long-term incentive programs.

Smarter Together

  • Collaborating at Sensata means working with some of the world’s most talented people in an enriching environment that is constantly pushing towards the next best thing

  • Employees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication

  • As OneSensata, we are working together to make things work together

Click here to view Sensata Recruitment Privacy Statement (https://www.sensata.com/sensata-recruitment-privacy-policy)

Click here to view our Sensata Recruitment Privacy Statement for China (https://www.sensata.com/sites/default/files/a/sensata\_china\_recruitment\_privacy\_policy.pdf)

NOTE: If you are a current Sensata employee (or one of our Affiliates), please back out of this application and log into Workday via the Company Intranet to apply directly. Type "FIND JOBS" in the Workday search bar.

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Sensing is what we do.

In fact, our name Sensata comes from the Latin word sensate for ‘those gifted with sense’. Our focus on sensing is also reflected in our logo, which spells Sensata in Braille.

Sensata Technologies is a global industrial technology company striving to create a safer, cleaner, more efficient and electrified world. Through its broad portfolio of mission-critical sensors, electrical protection components and sensor-rich solutions, Sensata helps its customers address increasingly complex engineering and operating performance requirements. With more than 18,000 employees and global operations in 13 countries, Sensata serves customers in the automotive, heavy vehicle & off-road, industrial, and aerospace markets.

Note to applicants for positions in the United States:

If you are an individual who requires a reasonable accommodation in connection with the hiring process and/or to perform the essential functions of the position for which you applied, please make a request to the recruiter or contact [email protected]

Diversity Statement

We are dedicated to ensuring our employees feel a sense of belonging (https://www.sensata.com/sites/default/files/a/Sensata%20DEI%20Policy%20FINAL.pdf) and respect every day. We believe that every individual has unique insights that others can learn from. Working at Sensata means you can bring your whole self to the table. Our goal is to achieve fair representation of women, minorities, veterans, people with disabilities, and all types of diversity among all levels in our organization.

Note to applicants for positions in the United States:

Sensata Technologies, Inc. (US) is proud to be an Equal Opportunity and Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability or any other basis protected by federal, state or local law.

View The EEO is the Law poster https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm and its supplement https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm

Sensata Technologies, Inc. (US) participates in E-Verify. View the E-Verify posters https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf

How this job compares

Set against the 6,879 open AI Engineer jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$116–159K/yr
  • Massachusetts median$144–225K/yr199 salary ranges
  • US median$133–246K/yr5,664 salary ranges

This range's midpoint, $137K, is 28% below the Massachusetts median midpoint ($190K) — in the lowest quarter of AI Engineer salary ranges in Massachusetts.

Openings
Olive Jobs lists 226 open AI Engineer jobs in Massachusetts and 6,879 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Massachusetts
Experience
This posting asks for at least 5 years of experience; AI Engineer postings that state a minimum ask for 5 years at the median (5,917 postings).
Education
3,339 of the 6,879 open AI Engineer jobs (49%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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