Forward Deployed Engineer

Globalwebindex · London

In short

▸Ingeniero de despliegue avanzado que implementa plataformas de IA agente en empresas clave.
▸Trabaja directamente con clientes en sitio, lidera despliegues de producción y guía ventas en fases críticas.
▸Es un rol principal con autonomía de fundador, enfocado en resultados comerciales y escalabilidad técnicas.

Proficiency in English required for client and internal collaboration.

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What they ask for

✓Experiencia demostrable en ingeniería de software o roles técnicos con entrega de código en entornos empresariales complejos.
✓Histórico de despliegues reales de productos de IA o datos en grandes organizaciones (no solo POCs).
✓Fundamentos sólidos en full-stack o backend, con Python como esencial y experiencia en APIs, SQL, nube (AWS/GCP/Azure) y pipelines de datos.
✓Capacidad de convertir ambigüedad en planes técnicos concretos.
✓Comunicación efectiva con audiencias técnicas y comerciales.
✓Disponibilidad para viajar entre 30-50% del tiempo a través del Reino Unido y Europa.

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PythonAPIsSQLAWSGCPAzuredata pipelinesLLM deploymentAI agentsagentic workflow automation

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Location : London Office requirement : 2 days in the office - Significant travel required Employment type : Permanent Seniority level : Principal At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for an Forward Deployed Engineer to play a key role in our Solutions Consultants Team in London. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. Sounds great, what will I be doing? 🤔 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. A few things you'll be responsible for: 👉 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. What do I need to bring with me? 🧳 You’ll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you’re willing to learn. Here’s what the team will be looking for in you: 👉 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 30–50% of the time). Nice to 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. E

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