Senior AI Engineer

Senior AI Engineer

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.

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.

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.

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.

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

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

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

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

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.