Senior AI Engineer

Ultimus•Omaha, NE

About The Position

The Senior AI Engineer owns the end-to-end technical lifecycle of enterprise AI models, from data pipeline architecture through deployment and monitoring. The role partners with AI Data Scientists and AI Developers to operationalize models, support robust data governance, and deliver measurable technical outcomes, including improved system scalability and reduced latency. This hands-on technical leadership position balances complex engineering with practical business application and drives technical alignment across the AI department.

Requirements

  • At least 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.
  • Strong technical leadership and mentoring skills.
  • An operator mindset focused on execution and reliable technical outcomes.

Nice To Haves

  • Experience in financial services or fund administration.

Responsibilities

  • Architect and scale machine learning pipelines to support automated workflows across Fund Accounting, Transfer Agency, and Onboarding.
  • Oversee the development and deployment of AI infrastructure using 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 related to system uptime, model latency, and infrastructure efficiency.
  • Mentor junior engineering staff.
  • Advise the Managing Director on technical priorities and secure AI governance.
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