AI Platform Architect (Teradyne, North Reading)

Opportunity Overview

We are seeking an AI Platform Architect I to build, configure, and maintain the environments and tools that enable our enterprise AI strategy. Reporting to the Enterprise AI Architect, you will translate the strategy into functional, secure, and observable enablers for Teradyne systems. Your responsibilities include setting the direction, working with infrastructure and engineering teams, and implementing secure, role-based environments in Microsoft Copilot Studio, Azure AI Foundry, and Google Vertex AI. You will also build AI agents for real-world use cases, develop and maintain RAG workflows, MCP Servers, and use Microsoft 365 services like Power Automate to streamline business processes.

AI Platform & Environment Enablement

• Create, configure, and manage the development and deployment environments for 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.

AI Solution Development

• 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.

AI Governance, Security, and Observability

• 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.

All About You

• 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.
• An analytical mindset with a focus on delivering measurable business outcomes.

Compensation

The base salary range for this role is $77,500 - $124,500. 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.

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. Please click here to see details.