Senior AI Engineer

Ultimus Fund Solutions; Cincinnati (OH); On-site; USD 150,000 - 210,000; Full time

Job summary

Talentify in Cincinnati, OH seeks a Senior AI Engineer to own the end-to-end lifecycle of enterprise AI models, from data pipelines to deployment and monitoring. The role partners with AI Data Scientists and AI Developers to operationalize models, ensure robust data governance, and deliver measurable technical outcomes including improved scalability and reduced latency.

This hands-on technical leader will balance engineering with business impact, drive technical alignment across the AI

Qualifications

• 7+ years in software, data engineering or ML operations.
• Architect scalable data pipelines and deliver measurable technical outcomes.
• Deep expertise in Python, SQL, and enterprise cloud data platforms.
• Translate operational needs into technical architecture with business impact.
• Experience in financial services or fund administration is preferred but not required.

Responsibilities

• Architect and scale ML pipelines to support automated workflows across funds.
• Oversee development and deployment of robust AI infrastructure on cloud data platforms.
• Lead initiatives to integrate AI into legacy financial systems and platforms.
• Establish MLOps practices and KPIs for uptime, latency, and efficiency.
• Mentor engineers and advise leadership on technical priorities and governance.

Skills

Architect scalable data pipelines

MLOps

Leadership

Mentoring

Business alignment

Tools

Python

SQL

Enterprise cloud platforms

Job description

Position Summary

The Senior AI Engineer will own the end-to-end technical lifecycle of enterprise AI models—from data pipeline architecture to deployment and monitoring. The role will partner with AI Data Scientists and AI Developers to operationalize models, ensure robust data governance, and deliver measurable technical outcomes including improved system scalability and reduced latency. The role requires a hands-on technical leader who can balance complex engineering with practical business application and drive technical alignment across the AI department.

Key Responsibilities

• Architect and scale machine learning pipelines to support automated workflows across Fund Accounting, Transfer Agency, and Onboarding
• Oversee the development and deployment of robust AI infrastructure leveraging enterprise data lakes and cloud platforms
• Lead technical initiatives to integrate AI capabilities into existing legacy systems and financial platforms
• Establish MLOps best practices and technical KPIs tied to system uptime, model latency, and infrastructure efficiency
• Mentor junior engineering staff and advise the Managing Director on technical priorities and secure AI governance

Qualifications

• 7+ years of experience across software engineering, data engineering, or machine learning operations
• Demonstrated ability to architect scalable data pipelines and deliver measurable technical outcomes
• Deep expertise in Python, SQL, and enterprise cloud data platforms
• Ability to work effectively with business operations to translate operational needs into technical architecture
• Experience in financial services or fund administration preferred but not required
• Strong technical leadership and mentoring skills
• Operator mindset with a focus on execution and reliable technical outcomes

Ultimus is an equal opportunity employer and does not discriminate on the basis of the applicant’s or employee’s race, color, religion, national origin, ancestry, gender, sexual orientation, age, disability, veteran or military status, genetic information, citizenship or any other status entitled to protection under federal, state or local anti-discrimination laws. No questions on our employment application are intended to secure information that is to be used for impermissible purposes.