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Location
In office (Omaha, Milwaukee, Denver, Philadelphia, Columbus, Cincinnati)
Seniority
Junior · 1+ year exp

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 6, 2026. Ultimus Fund Solutions scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Ultimus Fund Solutions is an independent provider of fund administration and investment operations solutions for advisors and asset/fund managers. The firm delivers high-touch, scalable services across public and private markets - including transfer agency, middle-office and investment operations, ETF launch and conversion support, and specialized administration for mutual funds, private equity, private credit, retail alternatives, REITs and other fund wrappers. Ultimus combines these services with integrated, AI-enabled technology platforms (Ultimus Connect, Portfolio Analytics Portal, Workflow Manager, Investor and Advisor Portal, Private Investor Portal and related tools) to provide data, reporting and workflow automation.

Position Summary

The Junior AI Engineer will assist in the development and maintenance of enterprise AI infrastructure. The role will partner with senior engineers to build data pipelines, deploy models, and ensure AI investments are technically sound. The role requires a detail-oriented builder who can execute technical tasks efficiently and collaborate with cross-functional technical teams.

Key Responsibilities

Assist in building and maintaining secure data pipelines for financial data ingestion

Write, test, and deploy production-ready code to support AI integrations across core workflows

Monitor live machine learning models in production environments and troubleshoot technical bottlenecks

Collaborate with AI Developers to expose AI functionalities via internal APIs

Track technical KPIs tied to code quality, deployment speed, and system stability

Qualifications

1–3 years of experience in software engineering, data engineering, or a related technical role

Demonstrated ability to write clean, efficient code and learn new frameworks quickly

Proficiency in programming languages such as Python and SQL

Ability to work effectively with technical teams and follow MLOps best practices

Experience in financial services or fund administration preferred but not required

Strong problem-solving skills and technical curiosity

Operator mindset with a focus on execution and technical reliability

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