обновлено 3 дня назад
Forward Deployed Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI): Building and deploying customer integrations for agentic AI platforms in regulated insurance environments with an accent on REST APIs, webhooks, data mappings, and agent configuration. Focus on leading PoC-to-production delivery, debugging integrations at the customer edge, and translating business requirements for senior stakeholders.
Location: Amsterdam
Company
builds vertical, agentic AI platforms that automate complex workflows in financial services, starting with insurance.
What you will do
- Build and deploy customer integrations using REST APIs, webhooks, data mappings, and connectors to core insurance systems.
- Configure and tune AI agents through business-rule encoding, workflow configuration, and benchmark cycles.
- Own customer delivery from sales handoff through PoC, production launch, and expansion.
- Lead kickoffs, delivery check-ins, executive reviews, and go-lives while tracking milestones, risks, dependencies, and escalations.
- Debug production issues at the customer edge and resolve them before escalating when possible.
- Identify expansion opportunities and feed delivery insights back into Product, Engineering, and GTM.
Requirements
- 4+ years of experience in software delivery, solutions engineering, forward-deployed engineering, or technical implementation of B2B platforms.
- Ability to write and ship code in Python or TypeScript, including APIs and integrations.
- Hands-on experience using LLMs and AI agents and explaining agent decisions in business language.
- Ability to work effectively with senior customer stakeholders and engineers in ambiguous environments.
- Strong ownership of outcomes, timelines, scope, customer trust, and production quality.
Nice to have
- Experience in insurance or another regulated industry.
Culture & Benefits
- Direct collaboration with founders and senior leadership.
- Ownership of customer-facing delivery and production outcomes.
- Work on AI systems used in regulated, real-world enterprise environments.
- Competitive compensation, equity participation, and career growth opportunities.
Hiring process
- Application and online assessment.
- Interview followed by a work trial.
- Offer after successful completion of the process.
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