Senior AI Engineer

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 generative AI, agent, copilot, and retrieval-augmented generation (RAG) solutions for commercial use cases, such as lead triage and routing, account insights, and competitor and peer performance intelligence.
• Build AI solutions for core functions, such as engineering design and FMEA support, quality diagnostics and root-cause analysis, supply chain planning, and procurement contract intelligence.
• Put data science models (e.g., forecasting, scoring, anomaly detection, computer vision) into production as reliable services and APIs.
• Integrate AI with enterprise systems such as Salesforce, ERP, PLM, MES, and quality systems so insights show up where people already work.
• Build data pipelines that combine structured and unstructured data, including documents, engineering and test data, manufacturing data, and external market data.
• Create reusable frameworks, components, and engineering standards that accelerate solution delivery across domains.
• Establish testing, evaluation, and release criteria, including accuracy and source-grounding checks, plus adoption and business-impact metrics.
• Own solutions end to end, from prototype through production support, and iterate directly with business users.
• Apply security and access controls suited to sensitive data, including customer, pricing, financial, and engineering IP.
• Partner with internal teams and external vendors to ensure AI solutions 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.
• Working knowledge of machine learning and MLOps; exposure to computer vision, time-series, or optimization is a plus.
• Knowledge of software testing, CI/CD, deployment automation, and production support best practices.
• Experience integrating solutions with enterprise platforms, business applications, and data ecosystems; exposure to CRM (e.g., Salesforce), ERP, PLM, or MES preferred.
• Proven ability to work across multiple business domains and quickly learn new processes; manufacturing or industrial experience preferred.
• 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.

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.

SmarterTogether

• Collaborating 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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