Forward Deployed Engineer

About the Role

Join an early-stage enterprise AI infrastructure team as its technical lead for customer engagements across the UK and Europe. You will connect customer needs with product and engineering, owning engagements from discovery through production deployment and helping establish the team's field delivery approach.

What You'll Do

• Explore customer data architectures and constraints, and explain how AI agents can use enterprise data effectively.

• Scope and deliver proofs of value from initial discovery and technical validation through production commitments.

• Lead product demonstrations, address technical objections, and discuss architecture with senior engineers and technology leaders.

• Run technical discovery sessions with data platform, infrastructure, and executive stakeholders across European markets.

• Develop reusable pre-sales materials, including discovery frameworks, demo narratives, and reference architectures.

• Turn customer constraints and edge cases into actionable product feedback for engineering teams.

• Partner with machine learning and infrastructure teams to deliver deployments that meet customer expectations.

What We're Looking For

• At least 5 years of professional experience, including 2 to 3 years building software or data systems in a hands-on technical role.

• Experience in forward-deployed engineering, deployment strategy, solutions architecture, or customer-facing data and AI delivery.

• A record of personally taking enterprise technical proofs of value into production commitments, including experience with procurement, security reviews, and multi-stakeholder buying processes.

• Strong knowledge of modern data platforms, including warehouses, ETL/ELT pipelines, and data governance.

• Working knowledge of production LLM and agentic systems, with sound judgment about their capabilities and limitations.

• Proficiency in Python or SQL for customer-facing prototyping, and the ability to translate technical needs into useful product feedback.

• Experience with knowledge graphs, semantic layers, ontologies, or entity resolution is helpful. Regulated or air-gapped deployments, startup environments, and multilingual or cross-European customer work are also valuable.

• Willingness to travel regularly to customer sites across the UK and Europe.

Location

Hybrid, New York, United States, with regular travel to customer sites across the UK and Europe. Visa sponsorship is not available.