People Analytics AI Engineer

In this role, you will: - Partner with People team members and cross-functional stakeholders to design, build, and maintain HR tech solutions that enhance people programs, streamline workflows, improve data quality, and drive productivity. - Act as a key voice in roadmap planning, experimentation frameworks, and modeling strategy discussions. - Identify gaps in data, tools, and processes and lead initiatives to close them. - Develop and deploy AI-powered tools and automations transforming core HR processes, including employee self-service, onboarding/offboarding, knowledge retrieval, workforce planning, and talent management. - Integrate people systems with core enterprise platforms (e.g., Workday, Google Suite, Slack, Salesforce, Greenhouse) to ensure seamless data flow, scalability, and reliability. - Evaluate and implement emerging technologies, staying current on advancements in AI, automation, and HR technology. - Enable and support end users through documentation, training, technical support, and troubleshooting. Minimum requirements: - Bachelor’s degree or comparable work experience. - 8+ years of relevant experience with building and scaling production-grade enterprise applications and integrations. - Strong software engineering fundamentals with the ability to independently design and deliver solutions. - Hands-on experience with large language model (LLM) applications, including prompt engineering and retrieval-augmented generation. - Proficiency in Python, SQL/NoSQL databases, and low-code/no-code automation platforms. - Experience with enterprise platforms, AWS, and data warehouses (Databricks, Snowflake, BigQuery, Redshift). - Excellent collaboration and communication skills with both technical and non-technical stakeholders.