Forward-Deployed AI Enablement Engineer

Teradyne Philippines, Ltd. - Cebu; Ilocos Norte; On-site; PHP 1,800,000 - 3,200,000; Full time

Job summary

Teradyne Philippines, Ltd. – Cebu is seeking a Forward Deployed Engineer, AI Enablement to design and deploy AI-augmented workflows across our organization. You will build AI-powered interfaces and applications, collaborating with sales, engineering, and product teams to demonstrate measurable business value.

The role emphasizes rapid prototyping, validation, and production deployment, with an eye toward built-in quality, baselines, and outcomes-driven metrics.

Qualifications

• Bachelor’s degree in a technical field is required.
• 3–5 years of software engineering experience.
• Fluency with AI-native development tools.
• Hands-on experience with modern AI platforms/frameworks.
• Strong full-stack development skills with modern languages.

Responsibilities

• Design and deploy AI-augmented workflows using modern platforms.
• Build natural language interfaces and AI-enabled applications.
• Collaborate with sales, engineering, operations, finance, and product teams to show business value.
• Lead AI solutions from concept to production with quality baselines and metrics.
• Diagnose workflow bottlenecks with business teams and architect scalable AI solutions.
• Contribute to a culture of continuous improvement and collaboration.

Skills

AI-native development tools

Full-stack development

English communication

Stakeholder collaboration

Problem solving

Education

Bachelor’s degree in Computer Science / Engineering / ML

Tools

Copilot Studio

LangChain

LlamaIndex

OpenAI Codex

Claude Code

Cursor

Ollama

Azure Graph API

Job description

Teradyne Philippines, Ltd. – Cebu is seeking a Forward Deployed Engineer, AI Enablement to design and deploy AI-augmented workflows across our organization. You will build AI-powered interfaces and applications, collaborating with sales, engineering, and product teams to demonstrate measurable business value.

The role emphasizes rapid prototyping, validation, and production deployment, with an eye toward built-in quality, baselines, and outcomes-driven metrics.