Forward Deployed Engineer, AI Enablement (UR & MiR, North Reading, MA)
Teradyne · North Reading, MA · 3 wk ago
Engineering$170k–$272k/yrFull-time
About the role
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
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
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
- 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
Qualifications
- 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
Skills
- 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
Benefits
- Medical
- Dental
- Vision
- Flexible Spending Accounts
- Retail Savings Plans
- Life and Disability Insurance
- Paid Vacation & Holidays
- Tuition Assistance Programs
Pay
The base salary range for this role is $169,700 - $271,500. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.
Schedule
N/A