Field Solutions Engineer - AI Workflows & Integrations

Wand AI

Palo Alto (CA)

Presencial

USD 130.000 - 170.000

Jornada completa

14 días+

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Descripción de la vacante

Wand AI is seeking a Field Solutions Engineer to bridge engineering and go-to-market work, translating complex business problems into concrete, testable AI workflows. You will validate concepts, prototype solutions, and guide customers through pilots to scale adoption.

You’ll own technical QA, contribute Python scripts and integrations, and collaborate with customers to design practical, scalable agent-based workflows using LLMs. A customer-first mindset and hands-on execution are essential.

Formación

  • Bachelor’s or Master’s in Computer Science, Engineering, or equivalent practical experience.
  • 5+ years in a hands-on technical role with enterprise customers.
  • Experience shipping production AI-enabled workflows or applications.

Responsabilidades

  • Design and deliver live demos and pilots that showcase Wand’s agentic workflows.
  • Collaborate with Sales to shape believable demos and pilots for customers.
  • Lead technical validation from discovery to pilot to deployment and post-launch iteration.
  • Provide deep technical guidance during pre-sales and customer engagements.
  • Build reusable patterns, templates, and playbooks for future deployments.

Conocimientos

Python
APIs & webhooks
LLMs / AI systems
Customer-facing
Architectural diagrams

Educación

Bachelor's or Master's in CS/Engineering

Herramientas

LangChain / LlamaIndex
REST APIs
Python tooling

Descripción del empleo

Wand AI is seeking a Field Solutions Engineer to bridge engineering and go-to-market work, translating complex business problems into concrete, testable AI workflows. You will validate concepts, prototype solutions, and guide customers through pilots to scale adoption.

You’ll own technical QA, contribute Python scripts and integrations, and collaborate with customers to design practical, scalable agent-based workflows using LLMs. A customer-first mindset and hands-on execution are essential.

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