> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Senior AI Engineer Canonical URL: https://nextmove.md/fde/jobs/1a5a70b8c9e3e512 Sensata posts a senior FDE role to build for teams inside the company in Attleboro, MA, at $115,620–$158,983 base, below the senior FDE median of $190,000 across 1,864 postings with pay. This hands-on senior AI engineer owns full-stack delivery of production AI applications across commercial, engineering, quality, operations, supply chain, and procurement functions. Read from the employer’s posting on November 8, 2026. - [Sensata](https://nextmove.md/fde/companies/sensata) First seen Oct 13, 2026 · open on Workday as of Nov 8, 2026 **$115,620–$158,983** Attleboro, MA This hands-on senior AI engineer owns full-stack delivery of production AI applications across commercial, engineering, quality, operations, supply chain, and procurement functions. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F1a5a70b8c9e3e512&placement=top) - [View posting at Sensata](https://sensata.wd1.myworkdayjobs.com/Sensata-Careers/job/Attleboro-Massachusetts/Senior-AI-Engineer_IRC98598) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $116K–$159K Below the median Midpoint $137K · median $190K This job $116K to $159K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds for teams inside the company Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: Internal teams - **Level**: Senior - **Role**: Technical lead ### What they ask for Experience - **5+ years** software engineering experience delivering production applications - **2+ years** building AI, machine learning, generative AI, or intelligent automation solutions Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 2+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in Attleboro, MA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: Attleboro, MA - **Pay**: ## More like this [Sensata](https://nextmove.md/fde/companies/sensata) ### [Senior AI Engineer](https://nextmove.md/fde/jobs/ad8948f897f17ad6) Attleboro, MA 3w ago $115,620–$158,983 [Sensata](https://nextmove.md/fde/companies/sensata) ### [Senior AI Engineer](https://nextmove.md/fde/jobs/29f95e857eb880a4) Attleboro, MA 3w ago $115,620–$158,983 [Shermco Industries](https://nextmove.md/fde/companies/shermco-industries) ### [AI Forward Deployed Engineer](https://nextmove.md/fde/jobs/3761b987a91d2ca4) US · city not listed Hybrid New · 3d ago $130,000–$140,000 - [Other jobs at Sensata (2)](https://nextmove.md/fde/companies/sensata) ## The job description from Sensata 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.* ### SmarterTogether - 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 Click here to view our Sensata Recruitment Privacy Statement for China **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.** [View posting at Sensata](https://sensata.wd1.myworkdayjobs.com/Sensata-Careers/job/Attleboro-Massachusetts/Senior-AI-Engineer_IRC98598) ## Similar jobs [Coalition](https://nextmove.md/fde/companies/coalition) ### [Software Engineer, AI Automation](https://nextmove.md/fde/jobs/4c49853f884c504f) US Remote 2mo ago $115,000–$168,000 [CLEAR](https://nextmove.md/fde/companies/clear) ### [Forward Deployed AI Engineer I](https://nextmove.md/fde/jobs/243f4b1b0871222a) New York, NY On-site 4w ago $129,500–$150,500 [MiQ](https://nextmove.md/fde/companies/miq) ### [Automation & Innovation Manager](https://nextmove.md/fde/jobs/0466c65720862fbe) New York, NY · Chicago, IL Hybrid New · 2d ago $140,000–$180,000 [NVIDIA](https://nextmove.md/fde/companies/nvidia) ### [Forward Deployed Engineer - Finance](https://nextmove.md/fde/jobs/8716238de9f3cdd3) Santa Clara, CA 10d ago $116,000–$230,000 [Fannie Mae](https://nextmove.md/fde/companies/fannie-mae) ### [Senior Associate – Palantir Forward Deployed Engineer](https://nextmove.md/fde/jobs/0da5de20fa8ea5ad) Reston, VA Hybrid 5w ago $123,000–$161,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs that build for teams inside the company](https://nextmove.md/fde/jobs?role=internal-deployment) Hiring at Sensata and want this page changed or removed? Email info@nextmove.md and we take it down. Employer postings · [How we read postings](https://nextmove.md/fde/method)