Dayforce · 2 days ago
Principal AI Engineer
Dayforce is a global human capital management company seeking a Principal AI Engineer to lead the architecture, development, and implementation of AI solutions across their enterprise. The role involves designing scalable AI systems, owning the AI infrastructure, and collaborating with various stakeholders to align AI capabilities with business priorities.
Computer Software
Responsibilities
Design and implement end-to-end AI applications tailored to complex enterprise challenges
Break down ambiguous use cases into well-defined, actionable solution designs using the latest AI technologies
Lead the engineering and deployment of AI assistants, agents, and applications using both code-first and low/no-code approaches
Build scalable, real-time AI systems with optimized performance and low latency
Own and evolve the underlying enterprise AI infrastructure and toolchain
Evaluate and integrate new AI frameworks, SDKs, and cloud services into the platform
Rapidly prototype new AI features and solutions; conduct proofs of concept and guide production rollout
Research and apply cutting-edge techniques in GenAI, LLMs, RAG, agentic workflows, and multi-modal AI
Implement robust MLOps pipelines, including model training, deployment, testing, monitoring, and drift detection
Automate lifecycle workflows to ensure reliability, scalability, and speed
Work closely with product, engineering, data science, and business stakeholders to align AI capabilities with enterprise priorities
Translate strategic goals into scalable AI solutions that deliver measurable business value
Champion responsible AI principles, including model interpretability, data privacy, and compliance with security policies
Serve as a technical mentor and thought leader across AI teams
Foster a culture of experimentation, excellence, and continuous learning
Qualification
Required
10+ years in software engineering, distributed systems, or enterprise architecture
5+ years of experience focused on AI/ML engineering, platforms, or applications
Experience in a lead role, directing and coaching teams of engineers and analysts
Strong background in enterprise-grade AI solution design and delivery across multiple domains
Deep understanding of LLMs, GenAI architectures, RAG pipelines, and agent-based systems
Hands-on expertise with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX) and cloud AI platforms (e.g., AWS SageMaker, Vertex AI, Azure ML)
Proficiency in Python, Java, or Go; strong system design and data engineering skills
Clear, effective communication skills; ability to influence across technical and executive teams
Bachelor's or Master's in Computer Science, Engineering, or a related technical field
A systems thinker who can architect, scale, and operationalize AI across a large enterprise
Preferred
A hands-on AI engineer who loves building impactful systems
Experience with developer tools and deployment environments like Replit, Vercel, or custom cloud setups
A strategic thinker who sees patterns across business and technology
A collaborative leader who thrives in ambiguity and drives alignment
A lifelong learner passionate about keeping up with the rapidly evolving AI landscape
Benefits
Excellent time away from work programs
Comprehensive wellness initiatives
Recognition through competitive pay and benefits
Volunteer days
Charity, Dayforce Cares
Company
Dayforce
Dayforce makes work life better.
H1B Sponsorship
Dayforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
Funding
Current Stage
Late StageLeadership Team
Company data provided by crunchbase