Build and maintain the data pipelines, models, and integrations that AI systems depend on, from raw source data to production-ready outputs * Scope, design, and write custom ML models tailored to client problems, from feature engineering through evaluation and deployment * Explore unfamiliar datasets with speed and rigor: identify structure, surface anomalies, and form a clear point of view on what the data can and can't Diagnose data quality issues quickly, communicate their impact clearly, and Work directly alongside AI engineers and product managers to translate ambiguous client problems into reliable, well-documented data products * Run client working sessions on data (source system walkthroughs, model findings, quality assessments) and own the room when you do * Tell the data story to non-technical audiences: in a chart, in a slide, in a Navigate enterprise data environments fluently (ERP systems, BI platforms, financial data infrastructure) and get things done inside them * Use AI tools to move faster across the full scope of your work: exploration, Travel to client site as needed Own end-to-end data delivery on multiple AI engagements, from initial source system assessment through production-ready pipelines * data problem before it becomes the team's problem * Run direct client working sessions on data (scope, quality, or access) and Demonstrate faster, higher-quality output because of how you use AI tools, Deep, practical data skills across the full stack: SQL, Python, machine learning, data modeling, pipeline development, and hands-on experience with Strong instincts for data quality: requirements shift and you still ship * translating technical findings into plain language, and building credibility ERP systems, FP&A data, financial close processes, or portfolio company data infrastructure * Fluent with AI and ML workflows: from the data layer, why it matters, and the ability to teach what you know * AI tools woven into how you work daily, with demonstrably faster output to Strong written communication: you can document a model, write a findings summary, produce compelling stories from messy data, and draft a They ship fast because they’ve internalized good judgment (not because they cut corners). the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production scalable, reliable tools that advance Accordion’s AI-driven value creation work We’re looking for experienced AI Engineers to join new AI-augmented delivery pods: purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.