AI Enablement Forward Deployed Engineer (Teradyne, North Reading, MA)
About The Position
As an AI Platform Forward Deployed Engineer, you will work directly with engineering teams across Teradyne to apply an AI platform to their real work. You will turn a team’s workflow into a focused, tested integration, show whether it improves outcomes, and leave the team able to run and extend it without you. You will learn a partner team’s workflow, constraints, data and access dependencies, current process, success measures, and owner. You will build and test a focused integration through agreed platform interfaces using appropriate data and access practices, then compare results with a baseline using measures such as usage, quality, task success, effort, latency, cost, or failures. You will prepare integrations for operation with tests for main and failure paths, useful telemetry and logs, a troubleshooting runbook, and documentation others can extend. You will support the integration through its first release and hand it off with baseline results, an agreed owner, and an escalation path. You will also bring recurring integration needs to platform owners as evidence-backed proposals for reusable capabilities.
Requirements
- Develop, debug, test, and maintain software used by others in at least one general-purpose language, using Git-based workflows such as pull requests, code review, automated tests, and CI.
- Understand an engineering team’s workflow and translate its constraints into a clear, bounded software integration.
- Integrate services, APIs, SDKs, and developer tools, including authentication and data handling, and diagnose failures using logs, metrics, or traces.
- Verify AI-assisted changes through testing and review, and judge when AI is useful versus when simpler software is a better fit.
- Compare results against a baseline, take an integration through its first release with documentation for an agreed owner, and explain tradeoffs to teams in unfamiliar domains.
Nice To Haves
- Building AI skills or agents, using model APIs, C#/.NET development, or forward-deployed and developer-tooling work.
- Experience with containers, Kubernetes, cloud infrastructure, observability, or retrieval-enabled systems.
Responsibilities
- Learn a partner team’s workflow, constraints, data and access dependencies, current process, success measures, and owner.
- Build and test focused integrations through agreed platform interfaces, using appropriate data and access practices.
- Compare integration results with a baseline using measures such as usage, quality, task success, effort, latency, cost, or failures.
- Prepare integrations for operation with tests for main and failure paths, useful telemetry and logs, a troubleshooting runbook, and extensible documentation.
- Support integrations through their first release and hand them off with baseline results, an agreed owner, and an escalation path.
- Present recurring integration needs to platform owners as evidence-backed proposals for reusable capabilities.
Benefits
- Medical, dental, and vision benefits.
- Flexible Spending Accounts.
- Retirement savings plans.
- Life and disability insurance.
- Paid vacation and holidays.
- Tuition assistance programs.
- Discretionary bonus(es) based on financial performance.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
