Forward‑Deployed AI Solutions Engineer (CDMX)

Doist; Mexico; On-site; PHP 2,475,249 - 4,243,284; Full time

Job summary

Wonderful helps enterprises build, test, deploy, and monitor AI agents across languages and contexts. The Forward Deployed Engineer role partners with customers to translate complex needs into AI-driven designs and deploy robust agents in production.

You’ll own projects from problem definition to launch, collaborating with product and engineering to deliver scalable solutions while learning quickly in ambiguous environments.

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.
• Contribute to tools, documentation, and best practices that scale customer delivery.

Skills

5+ years experience

Software design

System thinking

Cross-system experience

Communication skills

Ownership mindset

AI interest

Job description

Wonderful helps enterprises build, test, deploy, and monitor AI agents across languages and contexts. The Forward Deployed Engineer role partners with customers to translate complex needs into AI-driven designs and deploy robust agents in production.

You’ll own projects from problem definition to launch, collaborating with product and engineering to deliver scalable solutions while learning quickly in ambiguous environments.