Overview

FMI is seeking a hands-on, highly collaborative AI Engineer to help design, build, and productionize advanced AI systems that support the firm’s digital transformation. This role will focus on deploying LLM-powered assistants and intelligent agent workflows that enable FMI’s consultants, investment bankers, and corporate teams to accelerate research, improve information discovery, and streamline day-to-day workflows.

The AI Engineer role is primarily hands-on, with approximately 80% of time dedicated to technical build, integration, and delivery, and 20% focused on stakeholder alignment, design documentation, and iterative discovery. Reporting to the Chief Information Officer, this role has no direct reports but will lead cross-functional project teams and influence stakeholders across Corporate Services, Consulting, and Investment Banking.

This is a regular, full-time position based in Raleigh, NC, Denver, CO, or Tampa, FL, operating within FMI’s hybrid work model (3 days per week in-office).

*Applicants must be legally authorized to work in the U.S. on a full-time basis. FMI is unable to provide visa sponsorship—including H-1B or STEM OPT—at this time.

Key Responsibilities

Design, build, and deploy production-ready LLM-powered assistants and AI agent workflows that improve research, information discovery, and internal workflows across FMI.
Develop multi-step, context-aware AI agents capable of reasoning, planning, and executing tasks such as market research synthesis, financial modeling support, and document preparation.
Build and maintain backend infrastructure, APIs, and integrations connecting AI capabilities with FMI platforms (Salesforce, DealCloud, NetSuite, HubSpot, Box) and internal data repositories.
Improve enterprise search, semantic retrieval, and recommendation systems to surface relevant prior work, benchmarks, and industry data.
Advance prompt engineering, evaluation, monitoring, and testing practices to ensure reliability, accuracy, scalability, and responsible AI use.
Author clear design and requirements documentation (PRDs) and collaborate closely with consultants, bankers, and Product Owners to translate business needs into production-ready AI solutions.

Success Measures

Delivery of intuitive AI platforms that improve access to internal knowledge and data.
Measurable efficiency gains through AI-enabled workflows, including reduced search and rework time.
Increased reuse of existing research, benchmarks, and documents across the firm.
Strong cross-functional collaboration and alignment across Corporate Services, Consulting, and Investment Banking.

Qualifications

Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent practical experience).
4+ years of software engineering experience with production systems, preferably in AI, automation, or data-intensive environments.
Demonstrated experience delivering production-grade LLM applications beyond prototypes.
Experience building multi-step AI agents, LLM chaining, and workflow automation.
Strong expertise in prompt engineering and optimization techniques.
Experience building and integrating APIs across enterprise platforms (e.g., Salesforce, DealCloud, NetSuite, HubSpot, Box).
Experience deploying and managing AI services in cloud environments (AWS preferred; Azure or GCP acceptable).
Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
Working knowledge of distributed architectures, vector databases, and data pipelines supporting AI workflows.
Ability to collaborate effectively with consultants, bankers, and corporate teams to translate business needs into practical AI solutions.
Clear written and verbal communication skills, with the ability to explain technical concepts in business-relevant terms.
Comfortable operating in ambiguous environments and iterating quickly with stakeholders.

Physical & Work Requirements

Prolonged periods of computer-based work.
Minimal lifting requirements (generally under 10 lbs).
Up to 10% travel to FMI regional offices (Raleigh, Denver, Houston, Tampa).
Ability to commute to an FMI office three or more days per week in alignment with the firm’s hybrid work model.

Base salary starts at $120,000 plus bonus.

FMI offers a comprehensive benefits package, including fully paid employee medical insurance, life insurance, and long-term disability coverage, along with additional benefit elections. The package also includes a competitive 401(k) plan, paid time off (PTO), and parental leave.

FMI is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation.

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