Job Family:

Travel Required:

Clearance Required:

Guidehouse is seeking an AI Engineer to support the design, development, validation, and deployment of AI-enabled capabilities across a Revenue Cycle Management (RCM) platform. This role focuses on building production-grade AI systems that improve operational workflows across claims, denials, AR management, coding, and performance analytics. The role includes deploying AI solutions on cloud-native, containerized infrastructure using Kubernetes. 

What You Will Do:
Design and deploy AI-enabled workflows for RCM use cases; Build LLM-based applications including RAG and agent orchestration; Develop containerized AI services using Docker and Kubernetes (AKS/EKS/GKE); Implement CI/CD pipelines for Kubernetes deployments; Integrate AI with enterprise systems and data pipelines; Support agent runtime, evaluation frameworks, and human-in-the-loop workflows; Ensure scalability and reliability of AI services in production. 

What You Will Need:

• Minimum of FIVE (5)+ years of overall work experience required.
• LLMs, RAG, and generative AI application development
• Python, APIs, and backend microservices engineering
• Cloud AI platforms (Azure AI, AWS Bedrock/SageMaker, GCP Vertex AI)
• Data pipelines, ETL/ELT, and enterprise data integration
• Vector databases, embeddings, and semantic search
• AI/ML model evaluation, validation, and monitoring
• CI/CD and MLOps for production AI systems
• AI governance (explainability, auditability, compliance)
• Experience delivering AI solutions from prototype to production

What Would Be Nice To Have:

• Experience building AI/ML or LLM applications in production; Strong Python and API development skills; Experience with Azure AI, AWS, or GCP; Experience with RAG and vector databases; Experience with Docker and Kubernetes; Understanding of container orchestration and scalable system design. 
• Preferred Qualifications 
• Experience in healthcare RCM; Experience with agent-based orchestration; Familiarity with MLOps practices; Experience with Kubernetes tooling such as Helm and service mesh technologies; Experience with GPU workloads in Kubernetes. 
• What Success Looks Like 
• AI features deployed into live RCM workflows; measurable improvements in productivity and throughput; scalable AI services operating across Kubernetes environments supporting multiple clients.
• Docker and Kubernetes (AKS/EKS/GKE) for containerized deployments

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement, Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend