Forward-Deployed AI Solutions Engineer

AI Chopping Block

Chile

Remote

CLP 6,000,000 - 12,000,000

Full time

14 days+
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Job summary

Wonderful is hiring a Forward Deployed Engineer (FDE) to work directly with enterprise customers, architecting AI-driven solutions, and delivering production-ready agents. You will own from problem definition to deployment, ensuring reliable, measurable outcomes in customer environments.

You’ll thrive if you enjoy solving ambiguous problems, collaborating with product and engineering, and shaping scalable delivery practices across systems and data flows.

Qualifications

  • 5+ years of experience in software engineering or technical problem-solving roles.
  • Strong fundamentals in software design and system thinking.
  • Experience working across systems, integrations, and data flows.
  • Comfort working directly with customers and owning ambiguous problems.
  • Clear communication skills and a strong ownership mindset.
  • Curiosity and interest in building AI-powered systems that work in practice.

Responsibilities

  • Partner with customers to understand operational challenges and success criteria.
  • Translate open-ended problems into clear technical designs and implementations.
  • Build AI agents that integrate with customer systems and perform real tasks.
  • Own deployments, including reliability, performance, and continuous improvement.
  • Test with real data, measure outcomes, and iterate based on results.
  • Collaborate with Product & Engineering to ship high-quality solutions.

Skills

5+ years experience
Software design
System thinking
Cross-system integrations
Customer collaboration
Communication skills
Curiosity about AI

Job description

Wonderful is hiring a Forward Deployed Engineer (FDE) to work directly with enterprise customers, architecting AI-driven solutions, and delivering production-ready agents. You will own from problem definition to deployment, ensuring reliable, measurable outcomes in customer environments.

You’ll thrive if you enjoy solving ambiguous problems, collaborating with product and engineering, and shaping scalable delivery practices across systems and data flows.

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