Senior AI Engineer

Sensata•Attleboro, MA

11d

About The Position

The Senior AI Engineer builds and deploys AI solutions for Sensata operations, beginning with Supply Chain and extending to Procurement, Quality, and Engineering. The role turns priority use cases into production applications—including agents, copilots, and model-driven tools—for planners, buyers, and engineers, connecting those solutions to ERP, planning, and manufacturing systems. The position also supports enterprise AI engineering needs as priorities arise. The engineer develops production AI applications from prototype through deployment and business adoption, working directly with operational teams and collaborating with data science, product, data engineering, platform, and other stakeholders. Solutions are delivered using the enterprise AI platform and the Dev/Test/Prod, CI/CD, and MLOps/LLMOps standards set by the AI Architect and Platform team. The role defines evaluation criteria, monitors solution performance and impact, communicates technical trade-offs and risks, and contributes to reusable engineering practices and technical standards.

Requirements

At least 5 years of software engineering experience, including shipping AI/ML or GenAI applications to production.
Strong Python, API, and system integration skills.
Hands-on experience with LLMs, agents, and RAG.
Experience working with ERP (such as SAP or Oracle), planning, EDI, or MES data.
University degree, such as a bachelor's degree, or equivalent relevant work experience.
Strong communication skills, including oral, written, and presentation skills.
Strong organization, planning, and time management skills to achieve results.
Strong personal and professional ethical values and integrity; holds self-accountable for achieving goals and standards.
Proficiency in Microsoft Office programs, including Outlook, Word, PowerPoint, and Excel.
Strong interpersonal and collaboration skills to work effectively with all levels of the organization, including suppliers and/or external customers.
Ability to work as a team player in a fast-paced environment and handle multiple competing tasks and demands.
Comfort working across time zones with global business and technical teams.
Professional proficiency in spoken and written English.
Bachelor's degree in Computer Science, Software Engineering, or a related field.

Nice To Haves

Azure experience, including AI Foundry and Azure OpenAI.
Copilot Studio or Power Platform experience.
Experience in manufacturing, supply chain, procurement, product engineering, quality, or industrial operations.
Advanced degree.

Responsibilities

Design, develop, and deploy reliable, scalable, and maintainable production models, services, and pipelines.
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 production model performance, latency, cost efficiency, reliability, and explainability.
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.
Communicate technical trade-offs, risks, timelines, and recommendations to stakeholders.
Mentor engineers and contribute to technical standards, best practices, and architecture decisions.
Build and ship AI applications for operations use cases, from prototype through production and business adoption.
Build agents, copilots, and RAG solutions for planning, procurement, quality, and engineering workflows.
Connect AI solutions to ERP, planning, EDI, and manufacturing data and systems, as well as third-party platforms.
Turn AI models into apps, agents, and workflows integrated into how teams work.
Deliver solutions on the enterprise AI platform using the Dev/Test/Prod, CI/CD, and MLOps/LLMOps standards set by the AI Architect and Platform team.
Define testing and evaluation criteria for each solution and track adoption and business impact with process owners.
Work directly with planners, buyers, and plant teams across regions to understand workflows and drive adoption.
Stay current with advances in AI engineering practices.

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
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 may be eligible for short-term and long-term incentive programs