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Teradyne Logo Teradyne · IT - Software Development

Ai Platform Architect

United States, North Reading Employment contract 77500.00 - 124500.00 USD / Year · Job Posted May 27, 2026
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Job Description

As an AI Platform Architect I at Teradyne, you will be a hands-on builder and a critical enabler of our enterprise AI strategy. Your primary mission is to construct, configure, and maintain the environments and tools that our organization will use to create and deploy cutting-edge AI solutions. Reporting to the Enterprise AI Architect, you will be responsible for translating the enterprise AI Strategy into functional, secure, and observable enablers for Teradyne systems. This is a deeply technical role focused on implementation.

Job Responsibility

  • Construct, configure, and maintain environments and tools for creating and deploying AI solutions
  • Set up secure, role-based environments in Microsoft Copilot Studio, Azure AI Foundry, and Google Vertex AI
  • Build AI agents for real-world use cases
  • Develop and maintain RAG workflows, MCP Servers
  • Use Microsoft 365 services like Power Automate to streamline business processes
  • Create, configure, and manage development and deployment environments for core AI platforms
  • Implement and maintain Role-Based Access Controls (RBAC)
  • Manage platform settings, integrations, and resource allocations
  • Engineer reusable MLOps/LLMOps pipelines using Azure DevOps or GitHub Actions
  • Mentor and upskill teams in agentic AI design, MLOps & LLMOps practices, and solution architecture
  • Establish and document reusable patterns, playbooks, and modular workflows for agentic AI
  • Integrate AI agents with enterprise data sources, APIs, and MCP servers
  • Build and maintain Retrieval-Augmented Generation (RAG) workflows
  • Architect and develop the centralized MCP server and gateway
  • Build automated workflows using Power Automate and M365
  • Implement technical guardrails across AI platforms
  • Apply security controls to AI agents and RAG workflows
  • Engineer and maintain a centralized logging solution
  • Implement monitoring dashboards.

Requirements

  • 4–6 years of experience in AI/ML engineering, with hands-on expertise in enterprise AI platforms and agentic AI development
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
  • Proficiency in Python, SQL, agentic orchestration frameworks
  • Hands-on experience building & deploying end-to-end AI solutions with one or more of the following AI platforms: Azure Foundry, Microsoft Copilot Studio, Vertex AI, and Snowflake Cortex AI
  • Experience developing and implementing multi-environment MLOps & LLMOps pipelines
  • Strong knowledge of AI security, observability, and governance frameworks
  • Proven ability to mentor and upskill teams, fostering a culture of innovation and learning
  • Strong collaboration and communication skills, with the ability to work across technical and business teams
  • Analytical mindset with a focus on delivering measurable business outcomes.

What we offer

  • Medical, dental, vision
  • Flexible Spending Accounts
  • Retirement savings plans
  • Life and disability insurance
  • Paid vacation & holidays
  • Tuition assistance programs
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