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As a Forward Deployed Engineer at Wonderful, you'll transform complex enterprise workflows into AI agents that operate in production environments. You'll work at the intersection of engineering, product, and customer delivery, embedding directly with enterprise teams to uncover operational challenges and build AI-powered solutions that deliver measurable business value.
You'll own projects end-to-end: starting with customer discovery to understand workflows and constraints, translating loosely defined problems into clear technical specifications, designing and building AI agents that integrate with customer tools and data systems, and managing deployments from prototype through production launch. You'll measure real-world impact, iterate based on evidence, and make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
This role combines deep technical work with customer context. You'll work directly with operational and technical stakeholders, ask incisive questions, and ship practical solutions without waiting for perfect specifications. You'll also partner with Wonderful's Product and Engineering teams to improve the core platform and translate lessons from individual deployments into reusable tools and best practices.
REQUIREMENTS:
- 5+ years of experience building software or solving complex technical problems
- Strong foundations in software architecture, system design, and production engineering
- Experience working across APIs, integrations, data flows, and distributed systems
- Ability to bring structure and momentum to ambiguous problems
- Confidence working directly with customers, from operational teams to technical stakeholders
- Clear communication, sound judgment, and strong sense of ownership
- Genuine curiosity about applied AI and its potential to transform business operations
NICE TO HAVE:
- Experience in forward-deployed, solutions engineering, consulting, or customer-facing technical roles
- Experience building AI agents, workflow automation, or conversational systems
- Familiarity with LLM evaluation, observability, and reliability in production
- Experience deploying and improving systems in complex enterprise environments
