Principal AI Engineer

Jobtailor; Atlanta (CO); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor seeks a senior software engineer to lead the design and integration of Workday’s next generation intelligent agents, delivering production‑grade AI within a governed framework.

You will architect distributed cloud systems, orchestrate AI workflows, and enforce Responsible AI guardrails for privacy and reliability.

Requirements include 10+ years in software engineering with distributed systems, cloud, APIs, and ML/AI delivery in enterprise products.

Qualifications

• 10+ years of professional software engineering experience with distributed systems, cloud computing, and API design.
• 2+ years focused on production-grade LLM/agentic systems or 7+ years in ML Engineering or AI app development, with 3+ years shipping LLM-backed products.
• 3+ years hands-on experience integrating large models and modern AI APIs into enterprise products.
• 2+ years designing and scaling complex AI orchestration architectures.
• 6+ years optimizing application performance, addressing latency challenges.
• 6+ years deploying highly responsive, scalable systems on cloud platforms.
• Bachelors degree in CS, SE, or related field; Masters preferred.
• Responsible AI stewardship knowledge.

Responsibilities

• Lead the end-to-end system design and product integration of Workdays next generation intelligent agents.
• Architect how foundational models are safely integrated into production-grade software.
• Own the design, experimentation, and orchestration of complex agentic workflows.
• Be a core champion for Responsible and Governed AI with guardrails for data privacy and predictability.
• Balance high-level system design with hands-on execution to address latency and reliability.

Skills

Distributed systems

Cloud computing

API design

Production-grade AI

Leadership

Education

Bachelora0degree in Computer Science or Software Engineering

Mastera0degree preferred

Tools

ML/AI integration

Cloud platforms

Job description

Responsibilities

• Lead the end-to-end system design, architectural framework, and product integration of Workday’s next generation of intelligent agents.
• Architect how foundational models are safely and reliably integrated into production-grade software.
• Own the design, experimentation, and orchestration of complex agentic workflows.
• Be a core champion for Responsible and Governed AI, architecting systems with guardrails for data privacy and predictability.
• Balance high-level system design and hands‑on execution, solving critical product constraints like latency and reliability.

Requirements

• 10+ years of professional software engineering experience with deep expertise in distributed systems, cloud computing, and API design.
• 2+ years of dedicated focus building production-grade LLM/agentic systems or 7+ years of experience specifically within Machine Learning Engineering or AI application development, with 3+ years dedicated to shipping LLM-backed products.
• 3+ years of hands‑on experience integrating large models and modern AI APIs into user‑facing enterprise products.
• 2+ years of experience designing and scaling complex AI orchestration architectures.
• 6+ years of experience optimizing application performance (specifically tackling constraints like API latency).
• 6+ years of proven experience leveraging cloud computing platforms to deploy highly responsive, scalable systems.
• Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or equivalent technical field.
• Responsible AI stewardship knowledge.

Core Competencies

Demonstrates expertise in designing and integrating production‑grade AI systems, with a strong focus on Responsible AI practices and optimizing application performance. Proven ability to lead complex architectural frameworks and orchestrate workflows in cloud computing environments.