Job Description:
• Work with the HR AI Lead to execute the HR and workforce AI vision in alignment with enterprise AI strategy, and partner with HR D&A leadership to identify high-value AI use cases.
• Work with the HR AI Lead to define standards and best practices for responsible, ethical, and scalable AI adoption within HR systems.
• Communicate complex AI concepts, results, and tradeoffs clearly to non-technical audiences.
• Provide technical and functional expertise in the design, development, review, and deployment of AI-enabled applications.
• Review AI models, workflows, and system integrations to ensure quality, explainability, fairness, and performance.
• Guide application lifecycle decisions, including build vs. buy, prototyping, and production readiness.
• Audit training data and model outputs to detect bias, adverse impact, and performance drift.
• Act as a liaison between HR and the AI development team in the Technology organization.
• Work with the HR AI Lead to translate business requirements into technical specifications and guide AI engineers toward practical, user-centered solutions.
• Work through the AI governance to document HR AI applications, prepare materials for reviews, and present during board reviews for approval.
Requirements:
• Bachelor’s degree in a technical or quantitative field with 4+ years of experience, or Master’s degree with 2+ years (additional experience may be considered).
• 2+ years of hands-on experience with AI/ML and software development concepts, including model development, data pipelines, ETL, and application integration.
• Demonstrated experience leading or influencing AI solution design and implementation.
• Strong understanding of data preparation, feature engineering, and model evaluation.
• Proficiency with scripting/programming languages and AI platforms (e.g., Python, R, JSON, OpenAI, Claude, etc.).
• Ability to assess AI solutions for accuracy, bias, scalability, and business alignment.
• Exceptional communication, presentation, and stakeholder management skills.
• Experience working in complex, fast-paced, cross-functional environments.
• High level of discretion handling sensitive employee and enterprise data.
Benefits:
• competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement