Staff ML Engineer

About the role

Company Description Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries.

Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process.

Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success. Our Mission: We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. Our Values: To put Human Experience at the heart of organizations so every person can be seen and understood.

Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.

Dare to innovate: We challenge the status quo with creativity and innovation as our true north. Better together: We check our egos at the door. We work together, so we win together. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at Please provide your contact information and the details of your request so we can best assist you.

We're hiring a Staff ML Engineer to bridge the gap from AI Agent prototype to shipped, scaled, and supported product. In this role, you will drive large AI initiatives across multiple business units, establish engineering standards for production AI systems, and shape the technical direction of our AI Agents for Healthcare.

As a Staff ML Engineer, you will partner closely with AI Scientists, ML Engineers, Product Managers, and Software Engineers to deliver best-in-breed AI Agents to our customers. You will also work within our existing Java and Spring-based platform, extending and modernizing our enterprise application with advanced AI capabilities while ensuring the platform remains scalable, observable, secure, and maintainable.

What You'll Do

• Design, build, and deploy production-ready AI agents and agentic workflows that integrate seamlessly with enterprise applications and business processes.
• De-risk complex AI integrations by establishing robust evaluation, monitoring, guardrail, and safety frameworks for LLM-powered applications.
• Architect and implement scalable AI-enabled capabilities within our existing Java/Spring platform and distributed microservices ecosystem.

• Establish engineering best practices for AI Agent systems, including observability, testing, deployment, versioning, and operational excellence.
• Drive architectural decisions across AI services, microservices, APIs, and enterprise application integrations.
• Collaborate with AI Scientists and ML Engineers to productionize models and translate experimentation into reliable software.

Mentor engineers, lead architectural reviews, and influence technical strategy across teams. Evaluate emerging AI technologies and recommend pragmatic adoption strategies that improve product capabilities and developer productivity.

What You'll Bring

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 8+ years of professional software engineering experience, including leading complex technical initiatives in distributed systems.
• Strong proficiency in Python, Java and the Spring ecosystem (Spring Boot, Spring Framework), with experience building and evolving enterprise-scale applications.

• Deep expertise building scalable, production-grade AI-enabled applications and distributed systems.
• Demonstrated experience architecting and deploying AI agents, agentic workflows, and LLM-powered applications at enterprise scale.
• Hands-on experience integrating AI capabilities into existing enterprise applications rather than building standalone AI prototypes.

Extensive experience designing and deploying production-grade LLM applications using frameworks such as LangChain, LangGraph, Spring AI, Model Context Protocol (MCP), or similar technologies. Strong understanding of Retrieval-Augmented Generation (RAG), tool calling, Model Context Protocol (MCP), prompt engineering, and agent orchestration.

• Expertise in observability, CI/CD, automated testing, and production operations for AI applications.
• Proven ability to navigate ambiguity, reduce technical risk, and influence architectural direction across cross-functional teams.
• Excellent communication, collaboration, and mentoring skills.

Pay and benefits

Experience with Databricks, vector search technologies, embedding models, conversational AI, and evaluation strategies for AI agents. Experience building AI infrastructure, developer tooling, and platform capabilities that enable teams to rapidly deliver AI-powered features. Experience architecting and maintaining 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.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $130,000 to $190,000. 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,, 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. All your information will be kept confidential according to EEO guidelines.