You will work with enterprise data, APIs, and AI technologies, including large language models (LLMs), to create solutions such as document extraction workflows, AI assistants, and process automation tools. The ideal candidate is adaptable, execution-focused, and comfortable working with evolving requirements, imperfect data, and a fast-paced environment.
This role supports the organization's AI strategy by helping deliver scalable solutions, validating new capabilities, and driving measurable business value through AI.
General Responsibilities
Develop, test, and support models, services, and data pipelines.
Partner with data science, product, data engineering, and platform teams to understand requirements and contribute to technical solutions.
Assist with model training, evaluation, deployment, monitoring, and retraining workflows using established tools and processes.
Help improve model performance, reliability, latency, and cost efficiency by analyzing issues and implementing defined enhancements.
Create and maintain reusable code, documentation, and basic tooling that support team delivery and consistency.
Monitor deployed models for performance issues, drift, and operational concerns; escalate findings and support corrective actions.
Communicate progress, risks, and technical considerations clearly to team members and stakeholders.
Apply established technical standards, best practices, and coding guidelines while continuing to build technical expertise.
Stay current with relevant tools, technologies, and practices and apply learnings to assigned work.
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
- Build, test, and deploy AI solutions and workflows
- Develop applications using Python, APIs, and AI/LLM technologies
- Work with structured and unstructured enterprise data sources
- Create user-facing tools, automations, and integrations
- Support testing, monitoring, and continuous improvement of AI solutions
- Collaborate with business and technical teams to deliver impactful solutions
- Adapt to changing priorities, requirements, and data challenges
Additional Qualifications
- 3-6 years of experience in software engineering, AI, data engineering, or a related field
- Strong Python programming skills and experience building business applications
- Experience with AI/GenAI solutions and LLM technologies
- Familiarity with tools such as LangChain, LlamaIndex, Semantic Kernel, or OpenAI/Azure OpenAI APIs
- Experience working with complex or unstructured data
- Strong problem-solving, communication, and collaboration skills
Nice-to-Have
- Experience with SQL, data modeling, OCR, or document processing solutions
- Familiarity with Power Platform, Copilot Studio, or similar automation tools
- Exposure to ERP, supply chain, procurement, manufacturing, or other enterprise business systems
- Experience with Azure or other cloud platforms
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Skills Required
- University degree, such as a bachelor's degree, or equivalent relevant work experience
- Ability to work effectively in a fast-paced environment and manage multiple competing tasks and demands
- Strong oral, written, and presentation communication skills
- Strong organization, planning, and time-management skills
- Strong ethical values and professional integrity
- Personal accountability for achieving goals and standards
- Proficiency with Microsoft Office, including Outlook, Word, PowerPoint, and Excel
- Strong interpersonal and collaboration skills with employees, suppliers, and external customers
- 3-6 years of experience in software engineering, artificial intelligence, data engineering, or a related field
- Strong Python programming skills and experience building business applications
- Experience with AI or generative AI solutions and LLM technologies
- Familiarity with LangChain, LlamaIndex, Semantic Kernel, OpenAI APIs, or Azure OpenAI APIs
- Experience working with complex or unstructured data
- Experience with SQL, data modeling, OCR, or document processing solutions
- Familiarity with Power Platform, Copilot Studio, or similar automation tools
- Exposure to ERP, supply chain, procurement, manufacturing, or other enterprise business systems
- Experience with Azure or other cloud platforms
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.
