Accordion’s Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.
We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.
This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.
This position is not eligible for immigration sponsorship.
Accordion Intelligence Lab
The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.
The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.
This posting covers three levels: Staff Software Engineer, Senior Staff Software Engineer, and Executive Director, Software Engineering. We’re hiring the engineers who set the technical bar for how AI Lab builds — not just shipping an agentic system end-to-end, but deciding how every pod builds agentic systems: which orchestration patterns get reused, what “production-ready” means for an eval framework, and when a client problem needs a genuinely new architecture rather than another RAG pipeline.
You’ll operate at the intersection of hands-on engineering and technical leadership. Expect to spend real time in the code and real time in the room with CFOs and PE operators defending the call you made. This is a highly technical role at every level in this posting — technical depth is the qualifying bar, not a management-track substitute for it. You will be expected to ship fast, defend your decisions, and continuously raise the bar on what AI-assisted delivery looks like.