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Job Description

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

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