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Accordion

Finance-focused consulting with portfolio operations technology

Forward Deployed Engineer - CPM

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Data Science, Finance, or a related field is required.
  • At least 3 years of software engineering experience is required, including at least 1 year building applications powered by large language models, AI agents, or intelligent automation.
  • Strong proficiency in Python and experience with large language model orchestration frameworks such as LangChain, LangGraph, Anthropic API, or OpenAI API, and related tooling such as vector databases, embedding models, and prompt engineering are required.
  • Working knowledge of budgeting, forecasting, financial consolidation, close management, variance analysis, and management reporting is required.
  • Solid SQL skills and experience integrating with APIs, data warehouses, ERPs, and financial systems to source and transform data for AI workflows are required.
  • Excellent communication skills and the ability to work directly with CFOs, controllers, and FP&A leaders, translate their needs into technical solutions, and demonstrate value through rapid iteration are required.
  • Willingness to travel to client sites as needed, up to 50–80% depending on engagement, is required.

Responsibilities

  • Design, build, and deploy AI agents tailored to client-specific financial workflows, including variance analysis agents that surface and explain P&L and balance sheet movements, close reporting agents that generate narrative commentary and executive summaries, and forecasting copilots that support scenario modeling and assumption validation.
  • Build integrations between AI agents and existing EPM/CPM platforms, including Oracle EPM Cloud, OneStream, Anaplan, Planful, and Workday Adaptive Planning, to read from and write back to the client’s system of record.
  • Develop automated data reconciliation and validation workflows that reduce manual effort during period-end close, intercompany eliminations, and management reporting cycles.
  • Implement retrieval-augmented generation pipelines, tool-use patterns, and multi-step agent architectures that ground AI outputs in client financial data and business context.
  • Embed with client finance, FP&A, and accounting teams to understand their EPM/CPM environment, data flows, reporting cadences, and pain points.
  • Identify and prioritize high-impact opportunities for AI agents and automation to eliminate manual, repetitive work, particularly in variance commentary, flux analysis, board reporting, cash flow forecasting, and data quality assurance.
  • Translate business requirements into technical solution architectures, defining agent capabilities, data source integrations, guardrails, and success metrics in collaboration with client stakeholders.
  • Manage the full lifecycle of agent development on-site, from rapid prototyping and stakeholder demonstrations through iteration, testing, deployment, and post-launch monitoring.
  • Contribute to Accordion’s reusable agent framework and shared component library by abstracting patterns from client engagements into configurable, scalable building blocks for future deployments.
  • Stay current on advances in large language models, agent frameworks such as LangChain, LangGraph, CrewAI, and Anthropic tool use, and emerging practices for building reliable, auditable AI systems in financial contexts.
  • Establish and enforce quality standards for AI outputs in financial workflows, including accuracy validation, hallucination mitigation, audit trail generation, and appropriate human-in-the-loop checkpoints.
  • Document solution architectures, integration patterns, and deployment playbooks to accelerate future client engagements and enable knowledge transfer across the team.

Desired Qualifications

  • Understanding of financial planning and reporting systems, including Oracle EPM Cloud, OneStream, Anaplan, Planful, and Workday Adaptive Planning.
  • Experience in consulting or professional services.
  • Familiarity with ERP systems, including NetSuite, SAP, Oracle EBS, and Microsoft Dynamics, and understanding how financial data flows from transactional systems into EPM/CPM platforms.
  • Experience building production AI systems with appropriate guardrails for regulated or audit-sensitive environments, including explainability, traceability, and human-in-the-loop review patterns.
  • Cloud infrastructure experience with AWS, Azure, or GCP, and comfort deploying and monitoring agent-based applications in production environments.
  • Background in financial data modeling, multidimensional databases, or business intelligence tooling.

About the Company

Accordion

Finance-focused consulting with portfolio operations technology

Accordion partners with private equity firms to drive value creation through financial consulting services and portfolio operations technology. The core offering combines hands-on support in the Office of the CFO with a technology platform called Maestro, which institutionalizes a private equity firm’s approach to value creation across the finance function. How it works: a team of consultants works alongside sponsor management to execute initiatives across finance processes, using Maestro to standardize and scale the PE value-creation playbook. What sets Accordion apart: it is the only firm focused exclusively on the CFO function within private equity, pairing dedicated execution expertise with a proprietary platform that codifies portfolio operations best practices. Its goal is to help private equity sponsors achieve flawless execution across portfolios, shaping a new era in private equity through disciplined, measurable value creation.

Company size
1,001-5,000
Company stage
Pre-seed
Total funding
$25K
Headquarters
New York City, New York
Founded
2009

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