Forward Deployed Engineer, AI Enablement; UR & MiR, North Reading, MA

Position: Forward Deployed Engineer, AI Enablement (UR & MiR, North Reading, MA)
At Universal Robots, part of Teradyne Inc., Our vision is to create a world where people work with robots, not like robots. And as the market leader with 75,000+ collaborative robots (cobots) already installed worldwide, we're well on the way to achieving it. We employ 1000+ people in offices across North America, South America, Europe and Asia and we're growing all the time.

Our team is made up smart, creative people working at the forefront of automation. Together we find innovative solutions to some of the most important manufacturing issues facing businesses today. We dare to do what others find impossible- working with advanced technologies to change in the way businesses operate, So if you're looking to build your career with a ground-breaking technology company in dynamic environment with career advancement UR is the place for you.

Our Purpose

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.

We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.

Opportunity Overview

The AI Transformation team, part of the Chief AI Officer's organization, is accelerating the deployment of AI-augmented workflows across the entire organization. Our mission is to augment employee capabilities and embed intelligence into the most critical workflows that drive our business. We're seeking a Forward Deployed Engineer, AI Enablement who approaches every challenge by first considering what modern AI tools can solve, focusing on rapid prototyping, validation, and deployment of AI solutions where your success will directly impact business metrics.

* Design and deploy AI-augmented workflows using modern platforms (Microsoft Copilot Studio/Foundry, Lang Chain, Llama Index, and similar frameworks)

* Build natural language interfaces, conversational AI systems, and AI-enabled applications from user interfaces to backend systems

* Collaborate with stakeholders across sales, engineering, operations, finance, and product teams to translate AI capabilities into measurable business value

* Lead AI solutions from concept to production with focus on built-in quality, establishing baselines and tracking metrics to demonstrate business outcomes

* Partner with business teams to rapidly diagnose workflow bottlenecks and architect AI solutions that stakeholders can sustain independently

* Contribute to continuous improvement culture and team collaboration

All About You

We seek individuals who share our passion and determination.

Our commitment to customer success drives us to go the extra mile. If you're ready to join us in this mission, take a closer look at the minimum criteria for the position.

* Bachelor's degree in Computer Science, Engineering, Machine Learning, or related technical field

* 3-5 years of software engineering experience

* Fluency in AI-native development tools (Cursor, OpenAI Codex, Claude Code, or similar)

* Hands-on experience with modern AI platforms or frameworks (Microsoft Copilot Studio/Foundry, Lang Chain, Llama Index, or similar)

* Strong full-stack development skills with modern programming languages and frameworks

* Excellent communication skills in English, both written and spoken

* Intellectual curiosity across technical and business domains, blended with outcome-driven mindset

* Business outcome orientation with ability to connect technical work to measurable metrics

Bonus Points For

* Master's degree in Computer Science, Machine Learning, or related field

* Experience with Microsoft ecosystem tools like Power Platform, Graph API, or Azure AI Search

* Fluency in AI CLI tools such as Claude Code, Codex CLI, or Gemini CLI; experience with compound engineering features (Cursor rules, AI agent subflows, or similar agentic workflows)

* Hands-on experience with agentic AI frameworks (Open Claw, Lang Graph, etc.), local model…