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Senior AI Engineer - Data & MLOps (Teradyne, Remote)

Teradyne· Enterprise Architecture and Data
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Hybrid (North Reading, MA)$133.9k - $223.9kFull-timePosted 4w ago

About the role

Senior ML/AI Engineer responsible for designing, building, and operationalizing ML/AI solutions for Teradyne's IT organization, with ownership of production readiness, MLOps/LLMOps practices, and governance.

Responsibilities

  • Partner with the AI Enablement Team and IT to translate business problems into ML/AI solutions (predictive/classification models, GenAI assistants, RAG workflows, intelligent automation).
  • Design, develop, train, evaluate, and deploy end-to-end ML and generative AI solutions using Azure AI Foundry, Microsoft Copilot Studio, Google Vertex AI, and Snowflake Cortex AI.
  • Build and integrate AI agents with enterprise data sources, APIs, and MCP servers, grounding models in proprietary Teradyne data through embedding and retrieval pipelines.
  • Apply rigorous experimentation, model selection, and evaluation to deliver accurate, performant, fit-for-purpose solutions.
  • Own transition of internally developed AI solutions from build to production, defining release-readiness and lifecycle management.
  • Implement full model lifecycle management (versioning, model registry, retraining, promotion, deprecation).
  • Define drift, degradation, and retraining criteria and coordinate with AI Platform Operations for scheduled retraining and registry operations.
  • Partner with AI Platform Operations Engineer for run-books, on-call processes, and handoff standards.
  • Engineer reusable, multi-environment MLOps/LLMOps pipelines using Azure DevOps or GitHub Actions.
  • Build CI/CD, testing, and infrastructure-/configuration-as-code for models, prompts, and agents.
  • Leverage Azure ML, MLflow, and model/feature registries for standardized experimentation and deployment.
  • Establish automated evaluation and regression testing for predictive and generative solutions.
  • Design pipelines for production readiness and operability by the AI Platform Operations Team.
  • Establish technical standards, reference patterns, and reusable frameworks for consistent AI development and operation.
  • Document processes and playbooks covering development, evaluation, deployment, monitoring, and support.
  • Mentor engineers on ML/AI, MLOps/LLMOps, and agentic AI practices.
  • Champion adoption of best practices across projects to mature the team's AI operating model.
  • Implement responsible AI practices, guardrails, AI security controls, and observability for AI solutions.
  • Build observability, logging, and audit trails to support explainability, compliance, and troubleshooting.
  • Monitor performance, quality, reliability, and cost, driving continuous improvement.

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 hands-on experience with generative and agentic AI.
  • Bachelor’s or advanced degree in Computer Science, Data Science, Engineering, or related field.
  • Strong proficiency in Python and SQL; experience with scikit-learn, PyTorch, or TensorFlow.
  • Hands-on experience building and deploying ML and generative AI solutions with 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 ML, 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.
  • 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 across technical and business teams.
  • Analytical mindset with focus on delivering measurable business outcomes.

Skills

Required:PythonSQLML frameworksAzure AI Foundry / Copilot StudioGoogle Vertex AISnowflake Cortex AIMLOps/LLMOpsMCP server / API integrationRAG / embeddings / vector databasesModel lifecycle managementResponsible AI / AI governanceAI observability

Benefits

  • Medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance.
  • Paid vacation & holidays, tuition assistance programs, and additional wellness programs.
  • Click here to see details: https://www.teradyne.com/2026-benefit-information-for-us-employees/
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Teradyne

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