Our client is an enterprise AI platform that helps large organizations move from AI ambition to AI agents running reliably in production. Their technology allows enterprises to design, deploy, and operate AI agents that connect to core business systems and carry out real operational work end-to-end, rather than remaining at the pilot or proof-of-concept stage. Backed by leading international investors and growing quickly, they work hand-in-hand with enterprise customers as those organizations transform into AI-driven businesses.
The Role
Our client is looking for a Forward Deployed Engineer to solve high-impact, real-world problems alongside enterprise customers, owning work from first principles through to production outcomes.
You will work directly and in person with customers to understand critical workflows, design AI-driven solutions, and deploy agents that operate reliably in production. You will own projects end-to-end — from problem definition and system design through 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 on their AI transformation.
Requirements
3+ years of experience in technical problem-solving roles
Experience leading or contributing to solution scoping, discovery workshops, or early-stage AI/technical strategy in collaboration with sales, product, or deployment teams
Strong fundamentals in software design and system design
Clear communication skills and a strong ownership mindset
High-agency mindset: you don't wait for perfect requirements and are comfortable creating clarity, proposing direction, and driving decisions
Experience working across systems, integrations, and data flows
Comfort working directly with customers and owning ambiguous problems
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
Experience working in a high-growth or early-stage startup environment
Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience
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 and Engineering to ship high-quality solutions
Contribute to tools, documentation, and best practices that scale customer deployment
