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Closed on October 22, 2026.
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Job Description
Guidehouse is seeking an AI Engineer to design, develop, validate, and deploy production-grade AI capabilities for a Revenue Cycle Management (RCM) platform.
Responsibilities
- 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 solutions 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 environments
Requirements
- Minimum 5 (five)+ years of overall work experience
- Experience with LLMs, RAG, and generative AI application development
- Python, APIs, and backend microservices engineering
- Experience with cloud AI platforms: Azure AI, AWS Bedrock/SageMaker, and GCP Vertex AI
- Data pipelines plus ETL/ELT and enterprise data integration
- Hands-on work with vector databases, embeddings, and semantic search
- AI/ML evaluation, validation, and monitoring
- CI/CD and MLOps practices for production AI systems
- AI governance including explainability, auditability, and compliance
- Track record delivering AI solutions from prototype through production
Technologies
- LLMs, RAG, Python, APIs
- Docker, Kubernetes, AKS, EKS, GKE
- CI/CD, MLOps
- Azure AI, AWS Bedrock, AWS SageMaker, GCP Vertex AI
- Vector databases, embeddings, semantic search
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Discretionary variable incentive bonus eligibility (position-dependent)
- 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
Job Family
- Data Engineering & Architecture Consulting
Location
- Washington, DC (onsite)
Compensation
- USD 130,000 - 216,000 per year
- Annual salary range: $130,000.00-$216,000.00
Travel Required
- Up to 25%
Clearance Required
- None
What Would Be Nice To Have
- Production experience building AI/ML or LLM applications
- 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 with 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
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