LOCATIONS
San Francisco
New York City
Atlanta
Dallas
Boston
Chicago
Charlotte
Los Angeles
DEPARTMENT
Data & Analytics
Company Overview
We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.
If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.
Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.
Data & Analytics
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.
About the Role
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.
In this role, you will design and build the AI systems that power client engagements: agentic workflows, RAG pipelines, evaluation frameworks, and production-grade tools that operate in real PE environments. You’ll work directly with clients and cross-functional pod teammates from day one, and you will be expected to ship fast, defend your decisions, and continuously raise the bar on what AI-assisted delivery looks like.
This is a highly technical, hands-on role. We move at sprint pace—not quarter pace. If you want to move quickly, own outcomes end-to-end, and build things that matter in finance, this is the role.
What You’ll Do
Design and build multi-agent systems and RAG pipelines that automate financial workflows for PE-backed portfolio companies
Own the full stack from prompt engineering and tool design through deployment and monitoring
Practice eval-driven development: define how success is measured before you build
Translate ambiguous client problems into engineering requirements and deliver results in compressed timeframes
Present and defend architectural decisions to technical and non-technical audiences—including CFOs and PE operators
Build observability and evaluation infrastructure to continuously improve production AI system quality
Travel to client site as needed
Success in the First 6 Months
Work with like-mined AI engineers to ship at least one end-to-end agentic solution in a client engagement, from scoping through production
Establish evaluation infrastructure for your pod’s systems so that quality is measurable and regressions are caught early
Demonstrate materially faster delivery cycles because of how you use AI tools—not just that you use them
Build a reputation within the pod and with clients as someone who can be handed a hard problem and trusted to return a working, defensible solution
What You’ll Bring
AI tools are woven into how you work daily—you are materially faster because of it, and you can demonstrate that concretely
3–8+ years of software engineering experience with a notable portion in AI/ML systems, agent development, or applied LLM engineering
Hands-on experience building production LLM applications: RAG systems, agentic workflows, tool use, multi-agent orchestration
Proficiency in Python; experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks
Strong grasp of evaluation methodologies: designing evals, catching regressions, assessing LLM output quality
Solid data engineering fundamentals: ETL design, SQL/NoSQL, vector databases, streaming or batch pipelines
Nice to Have
Open-source contributions in the AI/ML space
Finance or PE domain experience: FP&A, GL data, ERP systems (NetSuite, SAP), or financial workflow automation
Experience building tools for reuse across multiple clients or in multi-tenant architectures
Prior experience in consulting, professional services, or client-facing delivery environments
This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.
The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment—not because they cut corners. They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.
The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.
Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
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