Senior AI Engineer

sensata; Attleboro (MA); Vor Ort; USD 116.000 - 159.000; Vollzeit

Zusammenfassung

Sensata is seeking a Senior AI Engineer, Commercial to design, develop, and deploy production AI models and services. You will collaborate with data science, product, data engineering, and platform teams to translate business problems into scalable AI solutions that support commercial workflows.

Ideal candidates will have 5+ years in software or AI engineering, strong Python/SQL skills, and experience with LLMs, generative AI, and enterprise data integrations.

Qualifikationen

• Requires a university degree or equivalent experience.
• Strong communication, multitasking in fast-paced environments.
• Proficient in Python, SQL, APIs, cloud technologies, and modern software practices.
• Experience with AI/ML, generative AI, and production AI workflows.

Aufgaben

• Design, develop, and deploy production ML models and services that are scalable and maintainable.
• Collaborate with data science, product, data engineering, and platform teams to translate business problems into technical solutions.
• Build training, evaluation, deployment, monitoring, and retraining workflows for AI systems.

Kenntnisse

Python

SQL

APIs

Cloud technologies

CI/CD

Stakeholder communication

Ausbildung

Bachelor's degree

Tools

Salesforce

Azure

Copilot Studio

Power Platform

Databricks

Jobbeschreibung

The Senior AI Engineer, Commercial builds and runs the AI applications that help Sensata's commercial organization (Sales, Marketing, Revenue Operations, and Commercial Finance) grow revenue, win and keep customers, and understand performance against peers. Working closely with the Lead Data Scientist, Commercial, and business stakeholders, the role turns models and generative AI into production tools supporting day-to-day commercial workflows.

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 / Qualifications

• A 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

• Lead the development and deployment of enterprise AI applications from concept through production.
• Build 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 (Salesforce, CRM, ERP, pricing, and quoting) so insights show up where sellers and leaders already work.
• Build data pipelines that combine internal commercial data with external sources such as earnings calls, financial filings, and market and news data.
• Put 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.
• Own solutions end to end, from prototype through production support, and iterate directly with commercial users.
• 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.

Additional Qualifications

• 5+ years of software engineering experience delivering production applications, including 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 (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, with a working understanding of concepts such as pipeline, bookings, pricing, and margin.
• Azure, Azure AI services, Copilot Studio, Power Platform, or Databricks experience preferred.
• Advanced degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field preferred.

Base Salary Range

#LI-SK1

$115,620.00 - $158,983.00

At Sensata, our employees are the key to our success and growth. We recognize that each individual brings their own unique experience, therefore the base salary range information shown above is a general guideline only. Sensata considers several factors when extending an offer, including, but not limited to, a candidate's experience and qualifications, as well as internal equity, market and business considera