Jobs at Sensata Xirgo

Designs, builds, deploys, and maintains production AI applications, models, services, and pipelines for supply chain use cases. Develops intelligent agents, copilots, and RAG solutions integrated with enterprise systems and data. Establishes testing, evaluation, monitoring, deployment, and release practices while improving performance, reliability, cost, and explainability. Partners with technical teams and vendors, contributes to architecture and engineering standards, communicates trade-offs, and mentors engineers.

Leads commercial data science initiatives using machine learning, forecasting, optimization, and predictive modeling to improve pricing, sales, customer prioritization, revenue forecasting, and commercial decision-making. Translates business questions into data science solutions, validates and monitors models, partners with AI and platform teams on production deployment, evaluates third-party analytics solutions, and communicates insights to executives and business stakeholders.

Owns Sensata’s commercial AI product portfolio across sales, revenue operations, pricing, marketing, and finance. Maps workflows, identifies pain points, defines product requirements, prioritizes roadmaps, and manages backlogs. Leads pilots through production, user adoption, governance, vendor integration, and value measurement. Builds business cases, tracks revenue and productivity outcomes, and communicates product decisions to senior leaders while partnering with AI engineers, data scientists, IT, Finance, and business stakeholders.

Designs, builds, and operates Sensata’s Azure AI platform and production machine learning infrastructure. Responsibilities include developing reusable platform components, CI/CD pipelines, infrastructure-as-code, MLOps and LLMOps workflows, model monitoring, observability, security controls, incident response, and developer tooling. The role requires strong Python, Azure, container, automation, and production systems experience, with a focus on reliability, scalability, responsible AI, and cost optimization.

Leads the development and operation of Sensata’s enterprise AI platform on Azure, including shared AI services, infrastructure, CI/CD, MLOps/LLMOps, security controls, monitoring, and reusable developer tools. Owns production readiness, platform governance, reliability, cost optimization, and roadmap execution while leading platform engineers and coordinating delivery across global teams.