Staff ML Engineer

What You'll Do

What You'll Bring

Preferred Qualifications

• 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.
• Additional Information for US based jobs:
• Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
• 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, 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.
• All your information will be kept confidential according to EEO guidelines.
• Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/

Qualifications

• 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.
• 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.
• Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
• 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, 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.
• All your information will be kept confidential according to EEO guidelines.
• Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/

Responsibilities

• 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.