AI Engineer

The AI Engineer, People Technology is responsible for designing, developing, and deploying AI-powered solutions that transform work across the People Organization. This role combines software engineering, AI development, and HR domain expertise to build intelligent applications, automations, and agents that improve employee experiences, increase operational efficiency, and accelerate workforce transformation.

The ideal candidate is a hands-on builder with demonstrated experience using AI Assisted Software Development Platforms to develop enterprise AI solutions. You must have successfully designed and deployed AI agents that collaborate across multiple platforms, systems, and business functions while operating within enterprise governance, security, and compliance standards.

This role requires deep knowledge of HR technologies, including Workday, ServiceNow, and the Microsoft Copilot ecosystem, along with a passion for applying AI to solve complex business challenges.

Key Responsibilities

AI Product & Solution Development

• Experience with the end-to-end product lifecycle turning a vision into a roadmap while driving adoption and value delivery

• Design, develop, test, and deploy AI-powered products, applications, and intelligent workflow solutions

• Utilize AI Assisted Development Tools to accelerate software development, solution design, and deployment activities

• Support subject matter experts in translating business needs into designs and prototypes

• Develop reusable frameworks, services, and components (such as AI Skills) that enable scalable AI adoption across the People Organization

AI Agent Engineering

• Design and build AI agents capable of making business-context-aware decisions, taking actions across enterprise systems and workflows, and operating autonomously within defined guardrails.

• Develop multi-agent systems that coordinate work across functions and platforms.

• Implement agent orchestration, memory, tool integration, and workflow management capabilities.

Cross-Platform Collaboration & Integration

• Build AI solutions that integrate and collaborate across multiple enterprise platforms.

• Develop integrations utilizing APIs, event-driven architectures, and enterprise services.

• Enable seamless interactions between agents, data sources, and systems to automate end-to-end business processes.

• Create solutions that leverage enterprise knowledge, workflows, and operational data securely and responsibly.

Technology Innovation

• Partner with leaders, process owners, and technology teams to identify AI transformation opportunities.

• Apply HR domain knowledge to improve recruiting, onboarding, learning, employee services, talent management, workforce planning, and people analytics processes.

• Drive innovation by rapidly prototyping, testing, and scaling AI solutions that create measurable business value.

Governance & Responsible AI

• Ensure solutions comply with enterprise standards for security, privacy, compliance, and responsible AI.

• Implement monitoring, observability, testing, and evaluation frameworks for AI systems.

• Support the development of AI governance standards, best practices, and development guidelines.

Required Qualifications

Technical Expertise

• Bachelor’s degree in computer science, Information Systems, Software Engineering, AI, or a related field, or equivalent experience.

• 5+ years of software development or solution engineering experience.

• 3+ years developing AI, machine learning, generative AI, or intelligent automation solutions.

• Advanced experience with AI coding tools, Python, APIs and enterprise integration development, Large Language Models, and agentic AI architectures.

AI Agent Development Experience

• Experience with building and deploying AI agents in enterprise environments.

• Demonstrated success developing agents that interact with and coordinate activities across multiple business platforms and technology ecosystems.

• Experience implementing multi-agent architectures, agent orchestration frameworks, tool calling and workflow execution, Retrieval-Augmented Generation, knowledge retrieval, and reasoning systems.

HR Technology Expertise

• Practical experience working within Human Resources, People Operations, HR Technology, or Workforce Transformation environments.

• Working knowledge of Workday, ServiceNow, Microsoft Copilot, and Microsoft 365 technologies.

• Understanding of end-to-end employee lifecycle processes and HR service delivery models.

Preferred Qualifications

• Experience implementing AI solutions within large, global enterprises.

• Familiarity with ServiceNow Employee Workflows and AI capabilities.

• Experience deploying cloud-native solutions using Azure services.

• Knowledge of vector databases, semantic search, enterprise knowledge management, and RAG solution patterns.

• Experience with Docker, CI/CD pipelines, DevOps practices, and modern software engineering methodologies.

• Experience building AI products Utlizing product management and agile delivery model.

Ideal CandidateIs a software engineer first and an AI innovator second.

• Understands how enterprise work gets done across the People Organization, IT, and business functions.

• Combines technical depth with strong business acumen.

• Thrives in ambiguous environments and rapidly converts ideas into working products.

• Thinks in terms of products, outcomes, and adoption rather than simply delivering