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

Overview

At Universal Robots, part of Teradyne Inc., our vision is to create a world where people work with robots, not like robots. With 75,000+ collaborative robots installed worldwide and a team of 1,000+ people in offices across North America, South America, Europe, and Asia, we are growing and innovating at the forefront of automation. We seek smart, creative people to help solve manufacturing challenges and advance careers in a ground-breaking technology environment.

We cultivate an inclusive culture that respects individual strengths, views, and experiences. Our employees are supported to innovate and learn something new every day, and we believe our differences enable better teamwork, decisions, innovation, and business results.

The AI Transformation team, part of the Chief AI Officer’s organization, accelerates the deployment of AI-augmented workflows across the organization. Our mission is to augment employee capabilities and embed intelligence into critical workflows that drive the business. We are seeking a Forward Deployed Engineer, AI Enablement who approaches challenges by considering how modern AI tools can solve problems, with emphasis on rapid prototyping, validation, and deployment of AI solutions that 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 a 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 a continuous improvement culture and team collaboration

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, please review 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

• 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 inference (Ollama), and MCP
• Backend expertise in data pipelines, cloud infrastructure, Dev Ops, or MLOps
• Background in prompt engineering, RAG architectures, vector databases, or LLM fine-tuning
• Experience with commercial enablement tools (sales copilots, CRM AI workflows including Salesforce, marketing automation, support bots)
• Understanding of enterprise AI considerations (security, compliance, data governance)
• Experience measuring and optimizing AI system quality (accuracy, relevance, latency, cost) and AI productivity impact across SDLC phases
• Experience in forward-deployed or customer-embedded engineering roles, solutions engineering, or technical consulting

We are an equal-opportunity employer and…