This person is a shared engineer who builds and runs the platform every pod reuses: the pipelines, testing, deployment and monitoring, plus reusable building blocks so each new pod starts further ahead. Key Responsibilities • Build and run the pipelines. CI/CD with automated testing across the pods. • Provision the environments. Set up and run the environments the pods build in. • Deploy and monitor. The models and agents the pods put into production. • Set the standards. Technical and security standards every pod builds to. • Build reusable parts. So each new pod starts further ahead than the last. Preferred Qualifications • Building internal developer platforms. • AI testing and monitoring in production. • Healthcare or higher education with data-security awareness (HIPAA, FERPA). • AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA). General Required Skills • 5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading. • Hands-on running AI systems in production. • AWS and Azure, Docker, Kubernetes, infrastructure as code. • Strong Python. • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. The estimated base salary for this job is $140,000 - $170,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $161,000 - $218,750 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future. #LI-REMOTE #LI-CL1 Position Level Manager Country United States of America