Senior AI Engineer

Sensata • Attleboro, MA

12d

About The Position

The Senior AI Engineer is a hands-on, full-stack AI engineer who designs, builds, and operates 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 everyday workflows. The engineer moves across domains as enterprise priorities shift and owns solutions from prototype through production support.

Requirements

• A university degree, such as a bachelor’s degree, or equivalent relevant work experience.
• At least 5 years of software engineering experience delivering production applications, including at least 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, intelligent agents, copilots, and retrieval-augmented generation, including evaluating and monitoring output quality.
• Working knowledge of machine learning and MLOps.
• Knowledge of software testing, CI/CD, deployment automation, and production support best practices.
• Experience integrating solutions with enterprise platforms, business applications, and data ecosystems.
• Proven ability to work across multiple business domains and quickly learn new processes.
• Ability to work as a team player in a fast-paced environment and handle multiple competing tasks and demands.
• Strong oral, written, and presentation communication skills.
• Strong organization, planning, and time-management skills.
• Strong personal and professional ethical values and integrity, and accountability for achieving goals and standards.
• Proficiency in Microsoft Office programs, including Outlook, Word, PowerPoint, and Excel.
• Strong interpersonal and collaboration skills for working effectively with all levels of the organization, including suppliers and external customers.

Nice To Haves

• Exposure to computer vision, time-series, or optimization.
• Experience with CRM platforms such as Salesforce, ERP, PLM, or MES.
• Manufacturing or industrial experience.
• Experience with Azure, Azure AI services, Copilot Studio, Power Platform, or Databricks.
• An advanced degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.

Responsibilities

• Design, develop, and deploy reliable, scalable, and maintainable production models, services, and pipelines.
• Lead the development and deployment of enterprise AI applications from concept through production.
• Build generative AI, agent, copilot, and retrieval-augmented generation solutions for commercial use cases, including lead triage and routing, account insights, and competitor and peer performance intelligence.
• Build AI solutions for core functions, including engineering design and FMEA support, quality diagnostics and root-cause analysis, supply chain planning, and procurement contract intelligence.
• Put data science models, such as forecasting, scoring, anomaly detection, and 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 are available in existing workflows.
• Build data pipelines combining structured and unstructured data, including documents, engineering and test data, manufacturing data, and external market data.
• Build and optimize model training, evaluation, deployment, monitoring, and retraining workflows.
• Improve production model performance, latency, cost efficiency, reliability, and explainability.
• Develop reusable infrastructure, tooling, libraries, frameworks, components, and engineering standards to accelerate delivery across domains.
• Establish testing, evaluation, and release criteria, including accuracy and source-grounding checks, adoption measures, and business-impact metrics.
• Monitor deployed models for performance degradation, bias, drift, and operational issues, and recommend and implement corrective actions.
• Own solutions end to end, from prototype through production support, and iterate directly with business users.
• Apply security and access controls appropriate for sensitive customer, pricing, financial, and engineering intellectual property.
• Partner with data science, product, data engineering, platform teams, internal teams, and external vendors to translate business needs into technical solutions and meet technical, security, and operational requirements.
• Collaborate with stakeholders to communicate technical trade-offs, risks, timelines, and recommendations.
• Mentor engineers and contribute to technical standards, best practices, and architecture decisions.
• Stay current with advances in practices.

Benefits

• Medical, dental, vision, life, and disability insurance plans.
• Education reimbursement.
• Wellness programs.
• 401(k) retirement plan with company matching.
• Paid time off, including vacation or flex-time, sick, bereavement, and parental leave.
• Certain positions are eligible for short-term and long-term incentive programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior