Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Senior Artificial Intelligence Automation Engineer to design and deliver cutting-edge automation solutions powered by AI/ML. The role involves building scalable and efficient AI-driven automation workflows that enhance clinical decision support and streamline operations in the healthcare ecosystem.

Responsibilities

• Designs, builds, and deploys AI-powered automation workflows for clinical and administrative use cases
• Integrates machine learning models into RPA platforms and enterprise systems
• Develops APIs and microservices to support automation pipelines
• Leverages Agent-to-Agent (A2A) protocols to enable secure communication between AI agents, potentially across cloud environments
• Leverages Model Context Protocol (MCP) to enable AI agents to interface with other systems
• Ensures solutions meet scalability, performance, and compliance requirements
• Provides technical guidance to junior engineers and automation developers
• Conducts code reviews and enforce best practices in automation development
• Collaborates with Lead AI Developer to align automation initiatives with broader AI strategy
• Supports MLOps practices for continuous integration and deployment of automation solutions
• Perform other duties as assigned

Skills

• Bachelor's degree in computer science or related field, or equivalent years of experience and education
• Seven years' experience
• Strong experience developing AI/ML solutions
• Experience with robotic process automation (RPA)
• Knowledge of healthcare data standards
• Commitment to ethical AI practices and regulatory compliance
• Ability to design, build, and deploy AI-powered automation workflows for clinical and administrative use cases
• Experience integrating machine learning models into RPA platforms and enterprise systems
• Ability to develop APIs and microservices to support automation pipelines
• Experience leveraging Agent-to-Agent (A2A) protocols for secure communication between AI agents
• Experience leveraging Model Context Protocol (MCP) for AI agents to interface with other systems
• Ability to ensure solutions meet scalability, performance, and compliance requirements
• Ability to provide technical guidance to junior engineers and automation developers
• Experience conducting code reviews and enforcing best practices in automation development
• Ability to collaborate with Lead AI Developer to align automation initiatives with broader AI strategy
• Experience supporting MLOps practices for continuous integration and deployment of automation solutions

Benefits

• Paid Parental Leave: we offer eligible team members one week of paid parental leave for newborns or newly adopted children (pro-rated based on FTE).
• Flexible Payment Options: our voluntary benefit offered through DailyPay offers eligible hourly team members instant access to their earned, unpaid base pay (fees may apply) before payday.
• Upfront Tuition Coverage: we provide upfront tuition coverage through FlexPath Funded for eligible team members.

Company Overview

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