Enterprise AI Platform Architect — MLOps & Data Governance

Teradyne

North Reading (MA)

On-site

USD 140,000 - 224,000

Full time

14 days+

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Benefits offered by this job

Discretionary bonus

Health benefits

Tuition assistance

Paid vacation & holidays

Job summary

Teradyne in North Reading, MA seeks an AI Platform Architect II to design an enterprise AI and data architecture, guiding tool choices and reusable patterns that unify our AI and data ecosystem across platforms such as Microsoft 365 Copilot, Azure Foundry, Vertex AI and Snowflake Cortex AI.

You will act as a change agent, embedding AI into business processes, mentoring teams in MLOps/LLMOps, and partnering with leadership to identify high‑impact AI use cases that deliver measurable business

Qualifications

6-8 years in IT including Enterprise Architecture and AI/ML/GenAI Engineering.
Bachelor’s Degree in Computer Science, Information Systems, Engineering, or related field.
Deep understanding of AI concepts, LLMs, and MLOps.
Experience with cloud platforms, especially Azure and Google Cloud.
Hands-on architectural knowledge of core AI and data platforms.

Responsibilities

Architect and operationalize enterprise AI strategy with a unified data ecosystem.
Lead design of a unified AI ecosystem with seamless data flow across platforms.
Establish reusable MLOps/LLMOps patterns for scalable AI development.
Oversee a centralized MCP Server and secure, governed AI interactions.
Evaluate new AI technologies and advise on strategic adoption.