Forward Deployed Engineer, AI Enablement

Location North Reading, MA, US 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. 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 Qualifications 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 Bonus Points 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 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 Equal Opportunity Employer We are an equal‑opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Compensation Base salary range: $169,700 – $271,500. Base salary will correspond with experience and skill set. Benefits Teradyne offers a variety of robust health and well‑being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. #J-18808-Ljbffr Teradyne