Owns the end-to-end lifecycle of enterprise AI models, including data pipeline architecture, AI infrastructure, deployment, monitoring, governance, and legacy-system integration. The role establishes MLOps practices, tracks technical KPIs such as uptime and latency, mentors engineers, and advises leadership on AI priorities. Responsibilities span financial services workflows including fund accounting, transfer agency, and onboarding.
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
- 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.
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