[Remote] Artificial Intelligence Automation Engineer Senior
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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