Senior AI Engineer: Scalable ML Pipelines & Governance

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

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