Forward Deployed Engineer

As our Lead / Principal Forward Deployed Engineer you'll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn't a support role, and it isn't a solutions consultant with a fancy title — you'll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You'll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader.

Responsibilities

• Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform — from discovery through to production, including bespoke integrations, data pipelines, and workflow automations.
• Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes.
• Partner with Enterprise AEs in late-stage sales cycles — leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close.
• Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap.
• Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs.

It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.

Requirements

• Significant experience in software engineering, solutions engineering, or a customer-facing technical role — with meaningful time spent shipping production code in complex enterprise environments.
• Demonstrable experience deploying AI or data-heavy products into large organisations — real production deployments, not just POCs.
• Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines.
• The ability to work through ambiguity and turn it into a concrete technical plan.
• Clear communication across technical and business audiences — you can tailor the same idea for an engineering lead and a commercial stakeholder.
• Willingness to travel to client sites across the UK and Europe (approximately 30 60% of the time).

Ideally You Will Have

• Hands-on experience with LLM deployment, AI agents, or agentic workflow automation.
• A background in a high-growth B2B SaaS or AI-native company.
• Experience in one or more of GWI's core verticals: financial services, media & agencies, consumer goods, or technology.
• Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion.