Verified today
Applied Artificial Intelligence (AI) Engineer
About the role
The Applied Artificial Intelligence (AI) Engineer role at Sensata, reporting to the Head of AI, designs, builds, and supports practical AI-powered applications, workflows, and automation tools across engineering, supply chain, operations, quality, legal, and commercial teams. Day-to-day work involves developing and testing models, data pipelines, and services; building Python-based applications with APIs and LLM technologies; working with enterprise data; and monitoring deployed solutions for performance, drift, and reliability. The position is based in Pune, India.
What you’ll do
- 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
- Build, test, and deploy AI solutions and workflows
- Develop applications using Python, APIs, and AI/LLM technologies
What you’ll bring
- Bachelor's degree or equivalent relevant work experience
- 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
- Ability to work in a fast-paced environment and handle multiple competing tasks
Skills
Education
A university degree required (i.e. Bachelors degree) or equivalent relevant work experience