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.
#LI-SK1
Base Salary Range:
$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 considerations. In addition to base salary, Sensata offers competitive medical, dental, vision, life and disability insurance plans, along with education reimbursement, wellness programs, a 401(k) retirement plan with Company matching, and a variety of paid time off, such as vacation or flex-time, sick, bereavement, and parental leave. Certain positions are also eligible for short-term incentive and long-term incentive programs.
SmarterTogetherCollaborating at Sensata means working with some of the world’s most talented people in an enriching environment that is constantly pushing towards the next best thing
Employees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication
As OneSensata, we are working together to make things work together
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NOTE: If you are a current Sensata employee (or one of our Affiliates), please back out of this application and log into Workday via the Company Intranet to apply directly. Type "FIND JOBS" in the Workday search bar.
Skills Required
- Bachelor’s degree or equivalent relevant work experience
- Ability to work collaboratively in a fast-paced environment and manage competing tasks
- Strong oral, written, and presentation communication skills
- Strong organization, planning, and time management skills
- Strong ethical values, integrity, and accountability
- Proficiency with Microsoft Office, including Outlook, Word, PowerPoint, and Excel
- Strong interpersonal and collaboration skills with internal, supplier, and external customer stakeholders
- 5+ years of software engineering experience delivering production applications
- 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 LLMs, intelligent agents, copilots, and RAG, including output-quality evaluation and monitoring
- Knowledge of software testing, CI/CD, deployment automation, and production support practices
- Experience integrating solutions with enterprise platforms, business applications, and data ecosystems
- Experience with Salesforce or another CRM
- Experience working with sales, marketing, or commercial finance stakeholders and understanding pipeline, bookings, pricing, and margin concepts
- Experience with Azure, Azure AI Services, Copilot Studio, Power Platform, or Databricks
- Advanced degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field
Sensata Xirgo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sensata Xirgo and has not been reviewed or approved by Sensata Xirgo.
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Fair & Transparent Compensation — Total compensation aligns with peer industrial‑tech firms for several U.S. roles, with some titles tracking near or above market norms. This positioning supports a generally acceptable pay experience for many roles.
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Leave & Time Off Breadth — U.S. policies include flexible or “unlimited” PTO and a dedicated paid volunteer-time allotment, broadening time-off options. Company programs also run an annual Day of Service across sites.
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Flexible Benefits — Benefits highlight flexible work schedules and optional telecommuting for certain roles, offering adaptability in how work and time off are managed. Inclusion programs and ERGs further extend non-cash support.
Sensata Xirgo Insights
What We Do
Sensata | Xirgo is a leading provider of innovative, full-featured, application-specific wireless IoT communication devices.
