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Forward Deployed Engineer

As a Forward Deployed Engineer, you'll create AI agents for enterprise workflows, combining engineering with customer insights.

Location
Indonesia
Compensation
Not disclosed
Level
senior
Type
full time

Posted by employer 6 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Wonderful → Save job Scanned from wonderful.ai

Skills & Technologies

AI in the day-to-day

You'll design and build AI agents that integrate with customer tools and business processes.

Requirements

Experience
5+ years

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

In the role of Forward Deployed Engineer at Wonderful, the individual will engage directly with enterprise clients to transform their operational challenges into effective AI-driven solutions. This position requires a strong background in software architecture and production engineering, with a focus on APIs and distributed systems. Ideal candidates are seasoned engineers who thrive in dynamic environments and possess excellent communication skills, enabling them to navigate customer interactions effectively. The role emphasizes practical problem-solving and continuous improvement, making it suitable for those with a passion for applied AI.

Joblaze insights

Quick facts

How much experience is required?
At least 5 years of relevant experience for this Forward Deployed Engineer role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML.
What seniority level is this role?
Wonderful targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Forward Deployed Engineer role at Wonderful.

From the original posting

The Role

As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.

You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.

You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.

This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.

What You’ll Do

  • Embed with customers to understand their workflows, constraints, and measures of success.

  • Turn loosely defined operational problems into clear technical plans and production systems.

  • Design and build AI agents that integrate with customer tools, data, and business processes.

  • Own deployments from prototype through launch, monitoring, and continuous improvement.

  • Test with real-world data, measure business outcomes, and iterate based on evidence.

  • Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.

  • Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.

  • Turn lessons from individual deployments into reusable tools, patterns, and best practices.

What We’re Looking For

  • 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.

  • The 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 a strong sense of ownership.

  • Genuine curiosity about applied AI and its potential to transform how businesses operate.

Nice to Have

  • Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.

  • 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.

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