This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We at Coursera are seeking a highly skilled and motivated People Technology AI Specialist. The ideal candidate will have 3+ years of experience and will be a key member of the People Technology team, focused on leveraging artificial intelligence and automation to transform the employee experience. You will work at the intersection of HR, data science, and technology — designing, implementing, and optimizing AI-driven tools that enhance talent acquisition, employee engagement, workforce analytics, and HR service delivery. You’ll collaborate with cross-functional teams in HR, IT, and data engineering to ensure our people systems and workflows are intelligent, scalable, and aligned with business goals.
Job Responsibility:
Design, build, and deploy AI tools to streamline HR processes (e.g., recruiting, onboarding, performance, and learning systems) using tools and platforms from Google AI, AWS, or other providers
Partner with the People Analytics team to develop machine learning models that deliver predictive insights into retention, engagement, and workforce trends
Collaborate with People Technology Systems Administrators to integrate AI technologies into existing platforms like Workday and Greenhouse
Identify opportunities to use generative AI and agents to enhance employee self-service, knowledge management, and communications
Establish responsible AI practices within People systems, ensuring data privacy, bias mitigation, and compliance with global regulations
Evaluate and implement AI-enabled HR technologies and assess new solutions
Partner with the HR team to drive adoption of AI-powered capabilities through training, documentation, and change management
Requirements:
Bachelor’s degree in Computer Science, Machine Learning, or a related field (required)
3+ years of experience in AI/ML development, with a focus on predictive modelling and data-driven insights
Proven experience in deploying AI solutions using platforms like Google AI, AWS, Microsoft Azure, or similar
Proficiency in programming languages such as Python, Java, or similar for AI tool customization and deployment
Strong understanding of APIs, cloud services, and integration of AI tools with existing systems
Proficiency in building and scaling AI pipelines for data engineering, model training, and monitoring
Experience with frameworks and libraries for building AI agents, such as LangChain, AutoGen
Familiarity with designing autonomous workflows using LLMs and external APIs
Strong understanding of HR systems (e.g., Workday, Greenhouse, etc.)
Proven ability to translate business needs into technical or analytical solutions
Strong communication and stakeholder management skills