AI Automation Engineer
Ladders · United States · 3 wk ago
RemoteRemoteEngineering$130k–$195k/yrFull-time
For our client, we are seeking a AI Automation Engineer to join the team of a leader in the Healthcare space. This role will focus on designing and building cloud-native automation and AI-enabled systems that support enterprise-scale operations in a regulated healthcare environment. You will work closely with cross-functional partners to connect legacy and modern data sources, productionize machine learning workflows, and improve reliability, cost efficiency, and business outcomes. The ideal candidate brings a strong software engineering foundation with hands-on experience deploying AI/ML solutions and building scalable infrastructure that turns complex data into actionable automation. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $130,332 – $195,498 annually Responsibilities Design and build distributed, cloud-native systems for enterprise workloads Integrate cloud and non-cloud systems, including legacy databases and streaming data Develop CI/CD and containerization pipelines using Docker and Kubernetes Build automation pipelines for ETL and orchestration using tools like Airflow Implement AI/ML inferencing pipelines for production systems Collaborate with cross-functional teams to translate business requirements into technical solutions Monitor and optimize system cost and reliability for better member outcomes Qualifications 3-5 years of software engineering experience focused on AI/ML, data science, or intelligent process automation Hands-on experience with machine learning model deployment in cloud environments (AWS, Azure, GCP) Experience in integrating systems with non-API and multimodal data Experience in a regulated industry (healthcare, insurance, financial services) Proficiency in Python and familiarity with ML frameworks like PyTorch and TensorFlow Bachelor's degree in a quantitative field; relevant experience may substitute for education Benefits Opportunities for informal mentorship and skill development Collaborative work environment with cross-functional teams Exposure to innovative AI and automation technologies Contribution to meaningful healthcare outcomes Flexible work arrangements to promote work-life balance Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.