We are seeking a Senior Applied AI Engineer who is a true hands-on builder, someone who can take a business problem and quickly turn it into a working AI solution. This is not a coordination or oversight role. You will be expected to write code, build workflows, integrate systems, and deliver usable prototypes in days to weeks and production-ready increments through defined delivery sprints. This role is expected to be highly practical; the person should be able to work with incomplete requirements, imperfect data, enterprise constraints, and fast-changing priorities.

This role will operate under the direction of the Artificial Intelligence Leader (Head of AI) and will support enterprise AI priorities across functions, including but not limited to engineering, procurement, supply chain, operations, legal, quality, and commercial teams

You will work directly with messy enterprise data, APIs, and LLM technologies to create practical solutions such as document extraction workflows, copilots, and automation tools. The ideal candidate is fast, pragmatic, and execution-focused—someone who values working solutions over perfect designs and thrives in ambiguity.

This role is key to accelerating time-to-value, validating vendor solutions, and proving what is possible through real delivery.

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.

Additional Responsibilities:

• Rapidly design, build, and deploy AI solutions, delivering usable prototypes and production-ready applications

• Develop end-to-end AI/LLM workflows (RAG, summarization, classification, agents) including APIs, data pipelines, and system integrations

• Build scalable solutions using Python, REST APIs, Azure OpenAI/OpenAI, vector databases, and orchestration frameworks

• Ingest, process, and work directly with messy, unstructured enterprise data (e.g., PDFs, Excel, SharePoint)

• Create user-facing tools and applications with appropriate interfaces, integrations, and deployment mechanisms

• Implement and manage evaluation, monitoring, and reliability frameworks (testing, scoring, human-in-the-loop, logging, error analysis)

• Evaluate, benchmark, and support due diligence of vendor solutions against internal builds

• Prioritize and deliver AI initiatives based on business value, scalability, and speed-to-impact across multiple enterprise use cases

• Operate effectively in ambiguous environments with evolving requirements and data constraints

Additional Qualifications:

• 5–10+ years of hands-on experience in software, AI, or data engineering with strong Python proficiency for building production-ready solutions

• Experience designing and delivering end-to-end AI workflows and applications (beyond standalone models)

• Hands-on experience with LLM/GenAI technologies, including RAG architectures, vector embeddings/databases, and multi-step orchestration

• Experience with AI/LLM frameworks and tools (e.g., LangChain, LlamaIndex, Semantic Kernel, OpenAI/Azure OpenAI APIs)

• Experience working with messy, unstructured enterprise data and the ability to deliver effective solutions without perfect data or infrastructure

• Strong engineering and product judgment, including API/application development (FastAPI, Streamlit, etc.), secure development practices, and decision-making on prototype vs. production vs. vendor solutions

Nice-to-have

• Experience with data handling and document-focused AI capabilities, including SQL/data modeling and document extraction/OCR workflows

• Familiarity with enterprise platforms and environments, including Power Platform (Power Automate, Copilot Studio) and ERP, supply chain, procurement, or manufacturing data domains

#LI-SK1 #LI-Remote

Base Salary Range:

$132,000.00 - $181,500.00

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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