Senior AI Engineer, Supply Chain

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 AI-powered solutions including intelligent agents, copilots, and retrieval-augmented generation (RAG) applications.
• Develop integrations that connect AI capabilities with enterprise systems, data sources, and business processes.
• Create reusable frameworks, components, and engineering standards that accelerate solution delivery.
• Establish testing, evaluation, and release criteria to ensure solution quality, reliability, and business impact.
• 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.
• Professional proficiency in spoken and written English
• Experience developing AI, machine learning, generative AI, or intelligent automation solutions.
• Strong proficiency in Python, APIs, system integration, cloud technologies, and modern software development practices.
• Experience with AI technologies such as large language models (LLMs), intelligent agents, copilots, or retrieval-augmented generation (RAG).
• Knowledge of software testing, CI/CD, deployment automation, and production support best practices.
• Experience integrating solutions with enterprise platforms, business applications, and data ecosystems.
• Azure, Azure AI services, Copilot Studio, or Power Platform experience preferred.
• Advanced degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field preferred.

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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