AI/RPA Engineer

Beacon Specialized Living•Nashville, TN

17d

About The Position

This role will be responsible for developing secure, compliant AI infrastructure and reusable frameworks that enable internal teams and external consultants to build and deploy AI agents for Operations, Human Resources, Admissions, and IT, while also supporting advanced LLM-driven clinical and client risk use cases integrated with Beacon’s EHR, eMAR, HRIS, CRM, and incident management systems.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
5+ years of experience in software engineering, data engineering, or AI engineering.
Hands-on experience with:
LLM APIs and orchestration frameworks
Prompt engineering and RAG architectures
API and microservice development
Strong proficiency in Python and modern backend frameworks.
Experience deploying cloud-native services using Docker and CI/CD pipelines.
Must pass criminal background checks, central registry check (in applicable states) and child abuse registry (in applicable states).

Responsibilities

Always be compliant with all company and regulatory policies and procedures.
Design and maintain an enterprise AI Agent framework supporting:
Task automation
Data retrieval and summarization
Workflow orchestration
Human-in-the-loop approvals
Build shared services including:
Prompt management and versioning
Tool and API integration layers
Authentication, role-based access, and audit logging
Enable safe agent execution with guardrails, validation layers, and escalation paths.
Implement and manage LLM integrations including:
Secure prompt pipelines
Retrieval-Augmented Generation (RAG) using enterprise data
Model evaluation and drift monitoring
Deploy AI services using scalable cloud-native architecture (APIs, containers, CI/CD).
Optimize performance, cost, and latency across production AI workloads.
Work with Data Engineering to leverage:
Microsoft Fabric
Azure Data Lake
Power BI semantic models
Integrate data from:
EHR and eMAR platforms
HRIS and payroll systems
CRM and Admissions platforms
Incident and Quality Management systems
Contribute to Beacon’s enterprise AI roadmap and standards.
Evaluate emerging AI tools, agent frameworks, and healthcare models.
Recommend architecture and vendor platforms to support scalable AI adoption.