Senior AI Engineer

At Sensata Technologies, Inc., the Senior AI Engineer, Commercial helps build and run AI applications that support day-to-day commercial workflows. This role turns models and generative AI into dependable production capabilities, from concept through monitoring and continuous improvement for commercial teams.

Role summary

You will design, deploy, and monitor reliable AI solutions for Sensata’s commercial organization, translating business needs into technical implementations. The work includes end-to-end ownership of enterprise AI applications and the integration of AI into systems where sellers and leaders already operate.

Responsibilities

• Design, develop, and deploy production models, services, and pipelines that are reliable, scalable, and maintainable.
• Collaborate with data science, product, data engineering, and platform teams to convert business problems into technical solutions.
• Build and optimize workflows for model training, evaluation, deployment, monitoring, and retraining.
• Improve production outcomes including performance, latency, cost efficiency, reliability, and explainability.
• Create reusable infrastructure, tooling, libraries, and patterns to accelerate team delivery.
• Monitor deployed models for performance degradation, bias, drift, and operational issues, then recommend and implement corrective actions.
• Communicate technical trade-offs, risks, timelines, and recommendations clearly with stakeholders.
• Mentor engineers and contribute to technical standards, best practices, and architecture decisions.
• Stay current with advances in practices.
• Lead development and deployment of enterprise AI applications from prototype to production support.
• Develop and deploy generative AI and agent solutions for commercial use cases such as lead and opportunity triage and routing, account insights, next-best-offer, and competitor and peer performance intelligence.
• Integrate AI into commercial systems including Salesforce, CRM, ERP, pricing, and quoting so insights are delivered where users work.
• Build data pipelines combining internal commercial data with external sources such as earnings calls, financial filings, and market and news data.
• Deploy data science models (scoring, propensity, forecasting) into production as reliable services and APIs.
• Define evaluation and release criteria, including accuracy and source-grounding checks for executive-facing outputs, plus adoption and business-impact metrics.
• Apply security and access controls suited to customer, pricing, and financial data.
• Partner with platform, IT, and vendors (including Salesforce) to meet technical, security, and operational requirements.

Requirements

• A Bachelor’s degree required (or equivalent relevant work experience).
• Team-oriented and able to work in a fast-paced environment while handling multiple competing tasks.
• Strong communication skills including oral, written, and presentation.
• Strong organization, planning, and time management to achieve results.
• Strong ethical values and integrity, with self-accountability to goals and standards.
• Proficiency in Microsoft Office programs (Outlook, Word, PowerPoint, Excel).
• Interpersonal and collaboration skills to work effectively with all levels of the organization, including suppliers and/or external customers.
• Strong proficiency in Python, SQL, APIs, system integration, cloud technologies, and modern software development practices.
• Hands-on experience with LLMs, intelligent agents, copilots, and retrieval-augmented generation (RAG), including evaluating and monitoring output quality.
• Knowledge of software testing, CI/CD, deployment automation, and production support best practices.
• Experience integrating solutions with enterprise platforms, business applications, and data ecosystems; Salesforce or other CRM experience strongly preferred.
• Experience working with sales, marketing, or commercial finance stakeholders, including familiarity with pipeline, bookings, pricing, and margin.
• Azure, Azure AI services, Copilot Studio, Power Platform, or Databricks experience preferred.

Technologies

• Python, SQL, APIs
• Cloud technologies
• Large language models (LLMs), intelligent agents, copilots
• Retrieval-augmented generation (RAG)
• CI/CD
• Salesforce, CRM, ERP
• Azure, Azure AI services, Copilot Studio, Power Platform, Databricks
• Microsoft Office (Outlook, Word, PowerPoint, Excel)

Location and salary

• Location: Attleboro, MA (onsite)
• Salary range: USD 115,620 - 158,983 per year

Benefits

• Competitive 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
• Short-term incentive and long-term incentive programs (certain positions)

Minimum experience

• 5+ years of software engineering experience delivering production applications, including 2+ years building AI, machine learning, generative AI, or intelligent automation solutions.
• Advanced degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field preferred.