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

Teradyne•North Reading, MA

1d•$169,700 - $271,500•Onsite

About The Position

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.

Requirements

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, LangChain, LlamaIndex, 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

Nice To Haves

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 (OpenClaw, LangGraph, etc.), local model inference (Ollama), and MCP
Backend expertise in data pipelines, cloud infrastructure, DevOps, 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

Responsibilities

Design and deploy AI-augmented workflows using modern platforms (Microsoft Copilot Studio/Foundry, LangChain, LlamaIndex, 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