AI Platform Architect (Teradyne, North Reading)

Teradyne•North Reading, MA

About The Position

We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world! We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive.Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview 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. You will be responsible for setting the direction and partnering with infrastructure and engineering teams for everything from setting up secure, role-based environments in Microsoft Copilot Studio, Azure AI Foundry, and Google Vertex AI, to building AI agents for real-world use cases. You will develop and maintain RAG workflows, MCP Servers, and use Microsoft 365 services like Power Automate to streamline business processes. Your work is the essential foundation that empowers our teams to innovate and execute on our AI vision.

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.

Responsibilities

Create, configure, and manage the development and deployment environments for our core AI platforms: Microsoft Copilot Studio, Azure AI Foundry, Google Vertex AI, and Snowflake Cortex AI.
Implement and maintain robust Role-Based Access Controls (RBAC) and other critical security configurations within each platform to ensure a "secure by default" posture for all users and services.
Manage platform settings, integrations, and resource allocations to ensure optimal performance and cost-efficiency for development teams.
Engineer reusable MLOps/LLMOps pipelines using Azure DevOps or GitHub Actions to automate the complete lifecycle of AI models, from testing to production deployment.
Mentor and upskill teams in agentic AI design, MLOps & LLMOps practices, and solution architecture, fostering a culture of innovation and continuous learning.
Establish and document reusable patterns, playbooks, and modular workflows for agentic AI, ensuring rapid adoption and consistency across teams leveraging both no-code and programmatic development environments, such as Microsoft Copilot and Azure Foundry.
Integrate AI agents with enterprise data sources, APIs, and MCP servers for interoperability and future-proofing.
Build and maintain sophisticated Retrieval-Augmented Generation (RAG) workflows, creating vector databases and embedding pipelines to ground models in proprietary enterprise data.
Architect and develop the centralized MCP server and gateway, ensuring secure, observable, and governed interactions for all enterprise AI agents.
Build automated workflows using Power Automate and M365, integrated with AI agents and enterprise systems to streamline business processes and enhance productivity.
Implement technical guardrails across all AI platforms to enforce data handling, model usage, and responsible AI principles.
Apply security controls to AI agents and RAG workflows, mitigating risks like prompt injection and unauthorized data access.
Engineer and maintain a centralized logging solution to create detailed audit trails of all AI agent interactions and decisions.
Implement monitoring dashboards to track AI platform health, agent performance, resource utilization, and operational costs.

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.

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