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Arcade AI

Forward Deployed Engineer

San Francisco, CA (Remote)fulltimemidAdded 1 month ago

About this role

Join a well-backed startup building infrastructure that enables AI agents to take real-world actions beyond chat interfaces. As a Forward Deployed Engineer in San Francisco, you'll be the technical authority for enterprise customers, designing custom AI architectures and prototypes while influencing the product roadmap.

What you'll do

  • Lead technical discovery and evaluations with enterprise customer stakeholders (CTOs, architects, heads of AI)
  • Design and build custom prototypes, proof-of-concepts, and reference architectures demonstrating AI action capabilities
  • Navigate complex technical challenges in large deal cycles ($200K+ to seven figures)
  • Provide market feedback to shape product roadmap, including prototyping new features when needed
  • Master and advise customers on the evolving AI/agentic ecosystem (LangChain, LlamaIndex, vector databases)
  • Translate complex infrastructure concepts into clear, business-value-driven solutions

What they're looking for

  • 3+ years pre-sales, solutions engineering, or technical consulting experience with infrastructure products
  • Deep knowledge of integration platforms (iPaaS, ETL/ELT, RPA, API gateways, service mesh)
  • Hands-on coding ability (Python, JavaScript/TypeScript, APIs, SDKs)
  • Enterprise systems architecture and design patterns
  • LLM orchestration and autonomous agent frameworks
  • Security and governance requirements for Fortune 500 environments
  • Business acumen and customer stakeholder management
  • Curiosity and rapid learning in emerging AI technologies
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Arcade AI

Arcade AI builds infrastructure that enables AI agents to take real-world actions by connecting language models to tools, integrations, and workflows. The company is hiring Applied AI Engineers, Solutions Architects, and Distributed Systems Engineers to design agentic tools, enterprise architectures, and scalable runtime systems.

View all jobs at Arcade AI

Likely interview questions

  • Walk us through a complex enterprise integration or infrastructure sale you've led. What were the technical hurdles, and how did you navigate the customer's security and governance requirements?
  • Describe your hands-on experience with APIs, SDKs, and modern languages like Python or TypeScript. Can you give a specific example of a prototype or PoC you built to unblock a customer deal?