Senior AI Engineer

The Senior AI Engineer (Focus: Operations – incl. Supply Chain) builds and deploys AI solutions for Sensata's operations, starting with Supply Chain and extending to Procurement, Quality and Engineering. The role turns priority use cases into production applications, such as agents, copilots and model-driven tools, that planners, buyers and engineers use every day. These are connected to Sensata's ERP, planning and manufacturing systems.

The role also supports enterprise AI engineering needs as priorities arise.

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 / QualificationsA 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:

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 to third-party platforms.

Turn AI models into apps, agents, and workflows built into how teams work.

Deliver 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.

Additional Qualifications:

5+ years of software engineering, including shipping AI/ML or GenAI applications to production.

Strong Python, APIs and system integration skills, plus hands-on experience with LLMs, agents and RAG.Experience working with ERP (e.g., SAP or Oracle), planning, EDI or MES data.

Azure (AI Foundry, Azure OpenAI) preferred;
Copilot Studio or Power Platform a plus.

Experience in manufacturing, supply chain, procurement, product engineering, quality, or industrial operations preferred.

Comfortable 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; advanced degree…