Artificial Intelligence Automation Engineer Senior

SSM Health • MO-REMOTE, MO

3d • Remote

About The Position

Step into a high-impact role where innovation meets real-world application as a Senior Artificial Intelligence Automation Engineer. In this role, you’ll design and deliver cutting-edge automation solutions powered by AI/ML, leveraging tools like Python, AWS, Terraform, and modern API frameworks to transform how work gets done. You’ll work at the forefront of emerging technologies—including LangChain, PyTorch, and advanced automation protocols—to build scalable, intelligent systems that drive efficiency and elevate enterprise capabilities. If you thrive in a fast-evolving environment and are passionate about turning complex challenges into streamlined, automated solutions, this is your opportunity to lead and shape the future of AI-driven operations. Designs, implements, and optimizes intelligent AI, machine learning and automation solutions across Integrated Health Technologies’ healthcare ecosystem. Focuses on building scalable, compliant, and efficient AI-driven automation workflows that enhance clinical decision support, streamline administrative operations, and improve patient engagement. Requires strong experience developing AI/ML solutions, robotic process automation (RPA), and healthcare data standards, with a commitment to ethical AI practices and regulatory compliance.

Requirements

• Bachelor's degree in computer science or related field, or equivalent years of experience and education
• Seven years' experience
• Python
• AWS
• Terraform
• Modern API frameworks
• LangChain
• PyTorch
• Advanced automation protocols
• AI/ML solutions
• Robotic process automation (RPA)
• Healthcare data standards
• Ethical AI practices
• Regulatory compliance

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.

Benefits

• One week of paid parental leave for newborns or newly adopted children (pro-rated based on FTE).
• Instant access to earned, unpaid base pay before payday through DailyPay (fees may apply).
• Upfront tuition coverage through FlexPath Funded for eligible team members.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior