Principal AI Engineer
Dayforce
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Job Description
About Dayforce
Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine that drives efficiency, productivity, and compliance for a global workforce.
Our Brand Promise: Makes Work Life Better™ reflects our commitment to employees, customers, partners, and communities worldwide.
Role Overview: Principal AI Engineer
The Principal AI Engineer will lead the architecture, development, and implementation of cutting-edge AI and Generative AI solutions across our enterprise. You will play a key role in shaping and advancing our Enterprise AI Platform, owning core tools and infrastructure that power AI innovation company-wide.
Key Responsibilities
- Architect and Build AI Solutions: Design end-to-end AI applications for complex enterprise challenges.
- Hands-On Development: Lead engineering and deployment of AI assistants and agents using both code-first and low/no-code approaches.
- AI Platform Ownership: Own and evolve enterprise AI infrastructure and toolchain while integrating new AI frameworks.
- Experimentation and Innovation: Rapidly prototype new AI features, conduct proofs of concept, and roll out production solutions.
- MLOps & Automation: Develop robust pipelines for model training, deployment, and monitoring.
- Cross-Functional Collaboration: Work with product, engineering, data science, and business teams to align on AI solutions.
- Governance & Responsible AI: Champion data privacy, security compliance, and model interpretability.
- Mentorship & Leadership: Serve as a technical mentor and thought leader, fostering a culture of continuous learning.
Skills And Experience
- 10+ years in software engineering, distributed systems, or enterprise architecture.
- 5+ years focused on AI/ML engineering, platforms, or applications.
- Proven lead role directing and coaching technical teams.
- Expertise in AI frameworks (PyTorch, TensorFlow, JAX) and cloud AI platforms (AWS SageMaker, Vertex AI, Azure ML).
- Proficiency in Python, Java, or Go with strong system design skills.
- Bachelor's or Master's in Computer Science, Engineering, or related field.
What Makes This Role Stand Out
If you are a hands-on AI engineer passionate about both technical execution and strategic innovation, this role offers a unique opportunity. Work with modern enterprise AI stacks including Replit, Vercel, and cloud-native environments, while mentoring teams and collaborating with diverse stakeholders across the organization.
Additional Information
This position offers remote work and is open to candidates anywhere in the United States or Canada. Dayforce values diversity and is committed to creating a supportive workplace with comprehensive wellness, competitive pay, and extensive benefits.
Note on Fraudulent Recruiting: Legitimate Dayforce contacts use an @dayforce.com email address. Do not provide money, checks, or sensitive data during recruitment.
Key skills/competency
- AI
- Generative AI
- MLOps
- Enterprise Architecture
- Distributed Systems
- Cloud
- Python
- LLMs
- Scalability
- Innovation
How to Get Hired at Dayforce
- Research Dayforce's culture: Study their mission, values, and recent news.
- Customize your resume: Tailor your experience to AI and cloud projects.
- Highlight leadership skills: Emphasize mentoring and team direction.
- Prepare for technical interviews: Practice system design and AI framework questions.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background