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AI Automation Engineer

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Onsite

AI Automation Engineer

Ladders

AI Automation Engineer

Skills

Google Cloud PlatformDockerPythonData SciencePyTorchTensorFlowMachine LearningAIAWSKubernetesApache AirflowAzure

25 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

28 September 2026

What they need


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.

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