Senior AI Engineer
Senior
Agentic Ai
Ai Agent
Ai Agent Platform
Ai Security
Artificial Intelligence
Artificial Intelligence Engineer
Azure
Cloud Data Engineering
Cloud Data Platform
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data Analysis
Data Analytics
Data Engineering
Data Pipeline
Data Processing
Database
Databases
Generative AI
Information Technology (IT)
Large Language Models
Machine Learning
Programming
Rag Architectures
SQL
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