Forward Deployed Engineer

The role

Forward Deployed Engineers act as technical authorities to lead discovery and evaluations with enterprise customers. You will design custom prototypes and reference architectures to show how the infrastructure enables AI actions. You will also funnel technical feedback to Product and Engineering teams to shape the roadmap.

What you will do

• Partner with AEs to lead technical discovery and evaluations with Head of AI, CTO, and Architect personas.
• Design and build custom prototypes, PoCs, and reference architectures.
• Turn abstract infrastructure, middleware, and API concepts into clear solutions for customers.
• Funnel deep technical feedback back to Product and Engineering teams.
• Create working prototypes and systems that can become part of the core platform.
• Navigate complex technical hurdles in deal cycles ranging from $200K+ to seven figures.
• Consult customers on broader AI strategy by mastering the AI stack.
• Present at conferences and create technical content and blogs.

Required qualifications

• 3+ years of experience as a Pre-Sales/Solutions Engineer, Solutions Architect, or technical consultant who has sold highly technical infrastructure (Databases, Security, Integration, or Cloud), or an
• Deep Integration & Systems Architecture Fluency in iPaaS, ETL/ELT, RPA, or API gateways and service mesh.
• Comfortable with APIs, SDKs, and coding in modern languages (Python, JavaScript/TypeScript, etc.).
• Ability to explain high-level concepts to an executive buyer.
• Willingness to present and create technical content and blogs.
• Active use of AI in daily workflows.

Nice to have

• Experience as an AI Agent Builder with LangChain, LlamaIndex, LangGraph, CrewAI, or AutoGen.
• Experience as a Backend Engineer shipping production microservices and distributed systems.
• Experience as an Identity & Security Practitioner with OAuth 2.0, OIDC, SAML, SCIM, token lifecycles, or delegated auth.
• Experience as an Infrastructure Engineer with Kubernetes, containers, service meshes, cloud platforms, or CI/CD pipelines.
• Meaningful work in data science, ML engineering, or applied AI/ML.

Benefits

• Competitive salary
• Equity
• Competitive benefits

About the company

Arcade is the MCP runtime that gives agents the power to connect to systems and perform actions with authorization and governance. The company is building critical infrastructure for enterprise AI agents.