Senior AI Platform Architect (Teradyne, North Reading)

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 II at Teradyne, you will be a pivotal leader at the forefront of our AI transformation. Reporting to the Enterprise AI Architect, your primary responsibility will be to design and evangelize a cohesive, enterprise-wide AI and Data architecture. This involves creating the blueprint for a scalable and secure ecosystem that leverages our investments in Microsoft 365 & Copilot, Azure Foundry, Google Vertex AI, and Snowflake Cortex AI. You will guide the selection of AI tools, define the data integration strategy, and establish reusable patterns for agentic development to mature skills across the organization. 

Beyond the technical architecture, you will be a key change agent, responsible for embedding AI into the fabric of our business. Your role is crucial in bridging the gap between strategy and execution by fostering an AI-ready culture, building institutional literacy, and guiding the company through the deep, structural shifts in how we work and make decisions. You will ensure our people, processes, and technology are aligned to unlock the full promise of AI and drive a sustainable competitive advantage. 

 

Opportunity Overview

AI Enterprise Architecture

• Architect and operationalize the enterprise AI strategy by developing a comprehensive architectural blueprint and component-level roadmap that unifies our AI and data ecosystem. 
• Lead the design of a unified AI ecosystem that integrates our core platforms, ensuring seamless data flow and interoperability between our AI Platforms, Data, and Enterprise SaaS solutions. 
• Establish and champion architectural standards, reusable MLOps & LLMOps patterns, and best practices for AI development to ensure consistency, scalability, and efficiency.
• Architect and lead the strategy for a centralized Model Context Protocol (MCP) Server, creating a unified gateway for secure, observable, and governed interactions between AI agents and all enterprise tools, data sources, and services.
• Evaluate emerging AI technologies, frameworks, and methodologies, making strategic recommendations for their adoption and integration into our enterprise architecture.

 

AI Change Management & Organizational Enablement: 

• As a core member of the AI Transformation Office, drive the change management strategy to accelerate the adoption of AI technologies and cultivate a culture of innovation. 

• Mentor and upskill teams in agentic AI design, MLOps & LLMOps practices, and solution architecture, fostering a culture of innovation and continuous learning. 

• Act as a key advisor to business leaders, helping them to identify and prioritize high-impact AI use cases and understand the transformative potential of AI for their respective domains. 

• Lead and facilitate workshops, training programs, documentation, and knowledge-sharing sessions to upskill our workforce and build AI literacy across all business functions. 

 

AI Governance, Security, and Scalability: 

• Partner with CISO to architect and implement a comprehensive AI governance framework that includes policies for data privacy, model risk management, and regulatory compliance. 

• Ensu