Forward Deployed Engineer

Arcade • San Francisco, CA

8h • Remote

About The Position

We are building the infrastructure that will power every AI application in the future by creating agentic 'tools' that allow AI models to take real actions in the real world. This role is an opportunity to be at the forefront of the AI revolution, connecting AI to real-world actions and architecting the transition from passive chat to active, automated intelligence. We are looking for deeply technical, articulate individuals with insatiable curiosity to join our team and help customers design architectures that can handle rigorous security reviews and stay ahead of the rapidly evolving Agentic AI ecosystem.

Requirements

• 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).
• Deep Integration & Systems Architecture Fluency: Experience connecting enterprise systems in forms like iPaaS (MuleSoft, Workato, Boomi), ETL/ELT (Informatica, Fivetran, Airbyte), RPA (UiPath, Automation Anywhere), or API gateways and service mesh (Apigee, Kong, Istio).
• Hands-on Technical Chops: Comfortable with APIs, SDKs, and coding in modern languages (Python, JavaScript/TypeScript, etc.).
• Curiosity & Business Acumen: Ability to understand the 'why' and business impact of a solution, and explain high-level concepts to executive buyers.
• Evangelist Mindset: Willingness to present, speak at conferences, and create technical content and blogs.
• AI-Forward Mindset: Actively use AI in daily workflows and eagerness to master the agentic landscape.

Nice To Haves

• Built with LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar, and experienced the pain of giving agents real-world capability.
• Shipped production microservices and understand running, observing, and scaling distributed systems.
• Deep fluency in OAuth 2.0, OIDC, SAML, SCIM, token lifecycles, delegated auth, and the modern identity stack.
• Experience with Kubernetes, containers, service meshes, cloud platforms (AWS/GCP/Azure), and CI/CD pipelines.
• Meaningful work in data science, ML engineering, or applied AI/ML.

Responsibilities

• Act as the Technical Authority: Partner with AEs to lead technical discovery and evaluations with Head of AI, CTO, and Architect personas.
• Build the "Art of the Possible": Design and build custom prototypes, PoCs, and reference architectures that show exactly how our infrastructure enables real-world AI actions.
• Simplify the Complex: Take abstract infrastructure, middleware, and API concepts and turn them into clear, value-driven solutions for customers.
• Field-to-Product Loop: Act as the eyes and ears of the market, funneling deep technical feedback back to our Product and Engineering teams to shape the roadmap. Empowered to make feature or fix changes to unblock deployments and create working prototypes from customer learnings.
• Drive Technical Wins: Navigate complex technical hurdles in deal cycles ranging from $200K+ to seven figures.
• Master the AI Stack: Stay at the bleeding edge of the ecosystem (LangChain, LlamaIndex, Vector DBs) to consult customers on their broader AI strategy.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed