We're hiring an ML Engineer II to help expand and scale our Machine Learning and Artificial Intelligence capabilities. In this role, you will work on core AI initiatives across multiple business units, execute against established engineering standards for production AI systems, and help build and harden our AI Agents for Healthcare. As an ML Engineer II, you should love building simple solutions to solve hard customer problems, crafting reliable code in an agile environment, and taking ownership of software quality from end to end. You will work within our existing Java and Spring-based platform, adding and modernizing enterprise application features with advanced AI capabilities while growing your software engineering expertise alongside senior team members. **What You'll Do** - Build, test, and deploy production-ready AI agents and agentic workflows that integrate seamlessly with enterprise applications and business processes. - Implement robust evaluation, monitoring, guardrail, and safety frameworks defined by senior team members to de-risk LLM-powered applications. - Develop and maintain AI-enabled features within our existing Java/Spring platform and distributed microservices ecosystem. - Collaborate with AI Scientists and ML Engineers to productionize models and translate experimentation into reliable software. - Staying up to date with emerging AI technologies and recommending pragmatic adoption strategies that improve product capabilities and developer productivity. - Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers - Participate in design reviews, technical discussions, and requirement planning to continuously grow technical skills and domain knowledge. - Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers - Finding quick ways to prototype and test possible solutions to large problems **What You'll Bring** - Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. - 2-5 years of hands-on experience as a Machine Learning Engineer, with a proven track record of designing, building, and optimizing ML models using frameworks like PyTorch or TensorFlow for production environments. - Solid Computer Science fundamentals in data structures, algorithm design, complexity analysis, and performance optimization. - Strong proficiency in object-oriented design and development using modern programming languages such as Python, Java, or C#. - Hands-on experience developing, testing, and supporting applied machine learning services within enterprise software ecosystems. - Practical experience building and maintaining software components for AI-enabled applications or distributed systems. - Hands-on experience integrating AI capabilities into existing enterprise applications rather than building standalone AI prototypes. - Experience implementing and deploying production-grade LLM applications using frameworks such as LangChain, LangGraph, Spring AI, Model Context Protocol (MCP), or similar technologies. - Solid working knowledge of Retrieval-Augmented Generation (RAG), tool calling, prompt engineering, and core AI agent principles. - Experience in observability, CI/CD, automated testing, and production operations for AI applications. - Excellent communication and collaboration skills. **Preferred Qualifications** - Experience with Databricks, vector search technologies, embedding models, conversational AI, and evaluation strategies for AI agents. - Experience working with AI developer tooling and platform capabilities that accelerate feature delivery. - Experience building large-scale Java microservices using Spring Boot. - Experience with cloud-native platforms (AWS, Azure, or GCP), Kubernetes, and containerized deployments. - Familiarity with model serving, inference optimization, caching strategies, and cost optimization for enterprise AI systems **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.