Wonderful helps large enterprises accelerate AI adoption to unlock their full potential, combining a complete AI operating system with local deployment teams that get AI into production quickly.

Role Overview

As a Forward Deployed Engineer (FDE) at Wonderful, you’ll solve high-impact, real-world problems alongside enterprise customers and own work from first principles through production outcomes.

You’ll work directly with customers to understand critical workflows, design AI-driven solutions, and deploy agents that operate reliably in production. You’ll own projects end-to-end from problem definition and system design to launch and iteration - and be accountable for real business impact.

This is a hands on-generalist role for engineers who enjoy navigating ambiguity, learning quickly, and working across systems while partnering with enterprises as they become AI-driven organizations.

What You’ll Do

• 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

What We’re Looking For

• 5+ years of experience in software engineering or technical problem-solving roles
• Strong fundamentals in software design, 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

Nice to Have

• Experience in forward-deployed, solutions engineering, or customer-facing roles
• Exposure to AI agents, automation, or conversational systems
• Experience operating and improving production systems