[Hiring] Senior AI Engineer @Teradyne

Role Description

As a Senior ML / AI Engineer at Teradyne, you will design, build, and operationalize the machine learning and AI solutions that power our IT organization, and you will prepare the team—technically and operationally—to own the AI solutions Teradyne develops internally. Reporting to the Enterprise AI/Data Product Manager within the Enterprise Architecture and Data organization, you will bridge solution development and production ownership, ensuring our AI solutions are reliable, governed, and sustainable long after they are first built.

This is a deeply technical, hands-on role spanning classical machine learning and modern generative and agentic AI. You will develop ML/AI solutions requested by the IT organization—predictive and classification models, GenAI assistants, RAG workflows, and intelligent automation—and engineer the MLOps/LLMOps practices, pipelines, and playbooks that allow the team to operate and continuously improve them. You will work across our enterprise AI stack—primarily Microsoft Azure (Azure AI Foundry and Microsoft Copilot Studio), Anthropic Claude, and Google Vertex AI and Snowflake Cortex AI—grounding solutions in trusted enterprise data and integrating with enterprise systems through MCP servers and secure APIs. Your work ensures Teradyne’s AI investments move from experimentation to durable, production-grade capabilities.

Qualifications

• 8–10 years of experience in ML/AI or software engineering, including at least 3 years building and operating production ML/AI systems and recent hands-on experience with generative and agentic AI.
• Bachelor’s or advanced degree in Computer Science, Data Science, Engineering, or a related field.
• Strong proficiency in Python and SQL, and experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow.
• Hands-on experience building and deploying ML and generative AI solutions with one or more enterprise AI platforms: Azure AI Foundry, Microsoft Copilot Studio, Anthropic Claude, Cursor, Google Vertex AI, and Snowflake Cortex AI.
• Proven MLOps/LLMOps experience—multi-environment pipelines, CI/CD (Azure DevOps or GitHub Actions), Azure Machine Learning, MLflow, and model lifecycle management.
• Experience with agentic AI orchestration frameworks, RAG, vector databases and embeddings, prompt engineering, and integration via MCP servers and APIs.
• Experience transitioning AI solutions from development into production ownership, including monitoring, drift detection, retraining, and support.
• Strong knowledge of model evaluation and testing, AI observability, responsible AI, AI security, and governance frameworks.
• Multicloud experience with Microsoft Azure as primary and Google Cloud as secondary, integrating with enterprise data on Snowflake and Microsoft Fabric.
• 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.
• Analytical mindset with a focus on delivering measurable business outcomes.

Requirements

• Own the transition of internally developed AI solutions from build to production, defining and certifying the release-readiness in accordance to standard set by the AI Platform Operations Team.
• Implement full model lifecycle management—versioning, model registry, retraining, promotion, and deprecation—so solutions remain accurate and maintainable over time.
• Define drift, degradation, and retraining criteria for deployed models and agents, and drive tuning and remediation of the underlying solution for the AI Platform Operations Team to execute scheduled retraining and registry operations against these criteria.
• Partner with the AI Platform Operations Engineer, providing the technical input—model and agent behavior, dependencies, failure modes—needed for the run-books, on-call processes, and handoff standards they own and author.

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.

Compensation

• The base salary range for this role is $133,900-$223,900. 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.
• This job is eligible for discretionary bonus(es) based on financial performance.