Principal AI Engineer

WillHire

Principal AI Engineer leading the design and orchestration of intelligent agents at Workday. Working with AI capabilities, enterprise platforms, and human workflows to drive business value.

Posted 7/17/2026full-timeAtlanta • Colorado • 🇺🇸 United StatesLead💰 $217,000 - $325,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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.

Highest-signal resume keywords

Distributed Systems ExpertiseCloud Computing ProficiencyAPI Design ExperienceProduction-Grade LLM/Agentic Systems DevelopmentResponsible AI Stewardship Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringMachine Learning EngineeringAI Application DevelopmentAI Orchestration Architecture DesignApplication Performance OptimizationLarge Model IntegrationEnterprise Product DevelopmentSystem DesignArchitectural FrameworksComplex Workflow Orchestration

Tools & Technologies

WorkdayAI APIsCloud Computing Platforms

Industry Keywords

Responsible AIData PrivacyPredictabilityProduction-Grade Software

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Workday Bonus Plan or role-specific commission/bonus
Annual refresh stock grants