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

Location: North Reading, MA, US Opportunity Overview 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. 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 All About You We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. 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 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 (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 EEO Statement 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. This range is a good‑faith estimate and may fluctuate depending on demand and location. Incentive Plan This job is eligible for discretionary bonus(es) based on financial performance. 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. Job Segment Manufacturing Engineer, Embedded, Computer Science, Developer, Cloud, Engineering, Technology #J-18808-Ljbffr Teradyne