Finance AI Solutions Engineer — Hybrid (Barcelona)

Xenon Seven

Gerona

Híbrido

EUR 90.000 - 130.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Hybrid work model
Enterprise project engagements

Descripción de la vacante

Xenon7 seeks a Forward Deployment Engineer to bridge enterprise AI platforms with Finance business functions for a Fortune 100 client. You will translate complex financial challenges into AI applications, deploying them in regulated client environments and iterating quickly to drive measurable ROI.

You will act as a product-minded technical lead, prototyping user-facing tools in days, deploying advanced RAG workflows on Databricks Genie, and ensuring adoption across FP&A, Controllership,

Formación

  • 5+ years of hands-on software development and full-stack AI deployment.
  • Proven ability to ship rough prototypes quickly.
  • Ability to navigate vague business problems without predefined specs.
  • Outstanding ability to interface with senior business leaders.

Responsabilidades

  • Own the full lifecycle of AI solutions for Finance units—from discovery to production deployment, adoption and ROI measurement.
  • Rapidly prototype vertical applications within 1–2 weeks to gather real-user feedback.
  • Handle edge cases, data quirks, and training to turn prototypes into enterprise products.

Conocimientos

Product-minded builder
Stakeholder communication
Ambiguity tolerance
Full-stack AI deployment

Herramientas

Databricks Genie
Streamlit
FastAPI/Flask
React
LangChain
LangGraph
LlamaIndex
Pinecone
Chroma
FAISS
Azure AI Search
Cortex Search
LangSmith
Datadog

Descripción del empleo

Xenon7 seeks a Forward Deployment Engineer to bridge enterprise AI platforms with Finance business functions for a Fortune 100 client. You will translate complex financial challenges into AI applications, deploying them in regulated client environments and iterating quickly to drive measurable ROI.

You will act as a product-minded technical lead, prototyping user-facing tools in days, deploying advanced RAG workflows on Databricks Genie, and ensuring adoption across FP&A, Controllership,

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