Senior AI Engineer

Sensata Technologies, Inc.; Attleboro (MA); In loco; USD 116.000 - 159.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive benefits package

Education reimbursement

401(k) with company matching

Paid time off and parental leave

Descrizione del lavoro

Sensata Technologies, Inc. is seeking an AI Engineer to build and deploy production AI solutions for our commercial teams.

You will design end-to-end models, services, and pipelines, partnering with data science, product, data engineering, and platform teams to translate business problems into scalable technical solutions. You will own robust training, evaluation, deployment, monitoring, and retraining workflows, while improving latency, cost efficiency, and explainability.

Competenze

• University degree or equivalent relevant work experience.
• 5+ years of software engineering delivering production applications.
• 2+ years building AI, ML, generative AI, or intelligent automation solutions.
• Strong Python/SQL/APIs skills and cloud tech experience.
• Experience with enterprise platforms like Salesforce/CRM and ERP.

Mansioni

• 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 production performance across latency, cost, reliability and explainability.
• Create reusable infrastructure, tooling, libraries, and patterns to accelerate delivery.
• Monitor deployed models for performance issues and implement corrective actions.
• Lead enterprise AI application development from concept through production deployment.
• Integrate AI into commercial systems such as Salesforce, CRM, ERP, pricing, and quoting.

Conoscenze

Strong communication

Team player

Self-accountable

Formazione

Bachelor's degree

Advanced degree preferred

Strumenti

Python

SQL

APIs

Cloud technologies

LLMs

CI/CD

Salesforce

CRM

ERP

Azure

Databricks

Power Platform

Descrizione del lavoro

Build and deploy production AI solutions for Sensata’s commercial teams, from evaluation to monitoring and iteration.

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 production performance across 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; 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
• Stay current with advances in AI engineering practices
• Lead enterprise AI application development from concept through production deployment
• Build and deploy generative AI and agent solutions for commercial use cases including:
  • Lead and opportunity triage and routing
  • Account insights
  • Next-best-offer
  • Competitor and peer performance intelligence
• Integrate AI into commercial systems (Salesforce, CRM, ERP, pricing, and quoting) so insights appear where sellers and leaders work
• Build data pipelines combining 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 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; 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

Requirements

• University degree required (Bachelor’s degree) or equivalent relevant work experience
• Team player able to work in a fast-paced environment while managing 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
• Self-accountable to achieving goals and standards
• Proficient in Microsoft Office programs: Outlook, Word, PowerPoint, Excel
• Strong interpersonal and collaboration skills across all levels, 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 and business applications; Salesforce or other CRM experience strongly preferred
• Experience working with sales, marketing, or commercial finance stakeholders, including pipeline, bookings, pricing, and margin
• Azure, Azure AI services, Copilot Studio, Power Platform, or Databricks experience preferred

Experience / Qualifications

• 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

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)

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)

Location: Attleboro, MA (onsite)

Salary: USD 115,620 - 158,983 per yearly

Minimum Experience: 5 years

Education: Bachelor’s degree