Press Ganey is looking for a passionate and entrepreneurial Machine Learning Data Scientist III - Conversational AI to join our AI Solutions team. The AI Solutions team is focused on developing and supporting the latest AI innovations in experience intelligence from agentic text analytics to conversational interfaces to data. You will • Design, Develop, and evaluate Conversational AI Agents • Work closely with AI Scientists and ML Engineers to imagine, design, and develop various Machine Learning and Generative AI products • Leverage your Conversational AI experience to ensure alignment with current State-of-the-Art best practices throughout AI & Machine Learning team • Work closely with Responsible AI & Model Validation Center of Excellence to support ethical development of AI Agents You have • Master's degree in Computer Science, Artificial Intelligence, or related field • 5+ years of professional experience in Applied Research and/or Software Engineering • Proven experience in Conversational AI / Dialogue Systems using Generative AI methods such as RAG, Deep Research Agents, Chain-of-Thought, Multi-agent architectures, etc. • Proven experience with Generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, A2A, etc. • Strong understanding of Machine Learning, NLP, and Generative AI • Excellent communication and cross-team collaboration skills Preferred Qualifications • PhD in Computer Science, Artificial Intelligence, or related field • Familiarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Databricks. • Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP. • Involvement in Conversational AI research community Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.