Enterprise AI Platform Architect - Lead AI Transformation

LitePoint; North Reading (MA); On-site; USD 140,000 - 224,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement plans

Paid vacation

Job summary

Teradyne seeks an AI Platform Architect II to lead the design and evangelize a cohesive, enterprise-wide AI and Data architecture, guiding tool selection, data integration, and reusable agentic development patterns across the organization.

You will drive AI adoption and literacy, bridge strategy and execution, and ensure AI initiatives align with business goals, delivering a sustainable competitive advantage.

Qualifications

• 6-8 years in Information Technology including Enterprise Architecture and AI/ML/GenAI Engineering.
• 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 the ability to upskill teams and foster a culture of innovation.

Responsibilities

• 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.
• 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.
• Partner with CISO to architect and implement a comprehensive AI governance framework that includes policies for data privacy, model risk management, and regulatory compliance.
• Ensure that all AI solutions are designed for scalability, reliability, and cost-effectiveness, making strategic decisions on resource allocation and optimization.
• Oversee the design of our MLOps and LLMOps strategy, ensuring that we have the right processes and tools in place to manage the entire lifecycle of our AI models & agents, from development to deployment and monitoring.

Skills

AI/ML engineering

Enterprise architecture

Cloud platforms (Azure, GCP)

Data architecture & governance

Leadership & communication

IaC & CI/CD

Strategic thinking

Education

Bachelor's degree in CS/IS/Engineering

Tools

Microsoft 365 Copilot

Copilot Studio

Azure AI

Google Vertex AI

Snowflake Cortex AI

Job description

Teradyne seeks an AI Platform Architect II to lead the design and evangelize a cohesive, enterprise-wide AI and Data architecture, guiding tool selection, data integration, and reusable agentic development patterns across the organization.

You will drive AI adoption and literacy, bridge strategy and execution, and ensure AI initiatives align with business goals, delivering a sustainable competitive advantage.