AI-Powered Finance Solutions Engineer

Accordion

Atlanta (NY)

Hybrid

USD 95.000 - 140.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Accordion is seeking a Forward Deployed Engineer to embed with client finance teams and build AI-powered agents for EPM/CPM workflows. You will create informatively driven agents that accelerate FP&A tasks and integrate with a range of financial systems.

The role blends applied AI with finance domain knowledge, requiring travel up to 50–80% and a hybrid US-based footprint. A strong Python background and experience with LLM orchestration are essential.

Qualifikationen

  • Bachelor’s degree in CS/Engineering/Data Science or related field.
  • 3+ years software engineering experience with LLM-powered apps.
  • Strong Python proficiency and experience with LLM orchestration frameworks.
  • Experience integrating with APIs, data warehouses, ERPs, and financial systems.
  • Willingness to travel up to 50–80%.
  • Excellent communication with CFOs/FP&A leaders.

Aufgaben

  • Design, build, and deploy AI agents for client-specific financial workflows.
  • Integrate AI agents with EPM/CPM platforms (Oracle EPM Cloud, OneStream, Anaplan, Planful, Workday Adaptive Planning).
  • Develop automated data reconciliation and validation workflows.
  • Define agent architectures, data source integrations, guardrails, and success metrics with stakeholders.

Kenntnisse

Python
LLM orchestration
AI agents
SQL
APIs integration

Ausbildung

Bachelor’s degree in CS/Engineering/Data Science or related field

Tools

LangChain
LangGraph
Anthropic API
OpenAI API
Vector databases
Embedding models
Prompt engineering

Jobbeschreibung

Accordion is seeking a Forward Deployed Engineer to embed with client finance teams and build AI-powered agents for EPM/CPM workflows. You will create informatively driven agents that accelerate FP&A tasks and integrate with a range of financial systems.

The role blends applied AI with finance domain knowledge, requiring travel up to 50–80% and a hybrid US-based footprint. A strong Python background and experience with LLM orchestration are essential.

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