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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.
Job Responsibility
Design and evangelize a cohesive, enterprise-wide AI and Data architecture.
Create the blueprint for a scalable and secure ecosystem that leverages investments in Microsoft 365 & Copilot, Azure Foundry, Google Vertex AI, and Snowflake Cortex AI.
Guide the selection of AI tools, define the data integration strategy, and establish reusable patterns for agentic development.
Be a key change agent, responsible for embedding AI into the fabric of the business
Bridge the gap between strategy and execution by fostering an AI-ready culture, building institutional literacy.
Architect and operationalize the enterprise AI strategy by developing a comprehensive architectural blueprint and component-level roadmap.
Lead the design of a unified AI ecosystem that integrates our core platforms.
Establish and champion architectural standards, reusable MLOps & LLMOps patterns, and best practices.
Architect and lead the strategy for a centralized Model Context Protocol (MCP) Server.
Evaluate emerging AI technologies, frameworks, and methodologies, making strategic recommendations.
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.
Act as a key advisor to business leaders to identify and prioritize high-impact AI use cases.
Lead and facilitate workshops, training programs, documentation, and knowledge-sharing sessions.
Partner with CISO to architect and implement a comprehensive AI governance framework.
Ensure all AI solutions are designed for scalability, reliability, and cost-effectiveness.
Oversee the design of MLOps and LLMOps strategy.
Requirements
6-8 years in Information Technology including Enterprise Architecture and AI/ML/GenAI Engineering. Proven experience in designing and implementing large-scale, enterprise-wide AI solutions.
Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field required
Deep understanding of AI and machine learning concepts, including generative AI, large language models (LLMs), and MLOps.
Expertise in designing and building solutions on cloud platforms, with a strong preference for Microsoft Azure and a working knowledge of Google Cloud Platform.
Hands-on experience with and a deep architectural understanding of our core AI and data platforms: Microsoft 365 Copilot, Microsoft Copilot Studio, Azure AI (including the future Azure AI Foundry), Google Vertex AI, and Snowflake Cortex AI.
Strong knowledge of data architecture, data governance, and data security best practices.
Familiarity with Infrastructure as Code (IaC) and CI/CD principles.
Exceptional leadership and communication skills, with the ability to articulate a clear vision and influence stakeholders at all levels of the organization.
Analytical mindset with a focus on delivering measurable business outcomes.
Strong strategic thinking and business acumen, with the ability to connect technology solutions to business value.
A collaborative and mentoring mindset, with a passion for upskilling teams and fostering a culture of innovation.