Senior AI Engineer

Dayforce; Omaha (NE); On-site; USD 140,000 - 200,000; Full time

Job summary

Dayforce in Omaha, NE seeks a Senior AI Engineer to own end-to-end AI model lifecycle—from data pipelines to deployment and monitoring. You will partner with AI Data Scientists and Developers to operationalize models, ensure governance, and deliver measurable outcomes including improved scalability and latency reduction.

You will mentor engineers, influence technical priorities for the AI department, and drive governance across enterprise platforms while balancing engineering excellence with

Qualifications

• 7+ years in software eng, data engineering, or MLOps.
• Architect scalable data pipelines with measurable outcomes.
• Translate operational needs into technical architecture.
• Strong leadership and mentoring abilities.

Responsibilities

• Architect and scale ML pipelines to support automated workflows.
• Oversee AI infrastructure deployment on data lakes and cloud platforms.
• Lead initiatives to integrate AI into legacy financial systems.
• Establish MLOps KPIs for uptime, latency, efficiency.
• Mentor junior engineers and guide technical priorities.

Skills

Engineering leadership

Data pipeline design

MLOps lifecycle

Architectural thinking

Execution mindset

Stakeholder collaboration

Tools

Python

SQL

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