Note: The job is a remote job and is open to candidates in USA. Guidehouse is seeking an AI Engineer to support AI-enabled capabilities across a Revenue Cycle Management platform. The role focuses on designing, developing, validating, and deploying production-grade AI systems for claims, denials, accounts receivable management, coding, and performance analytics. The engineer will build LLM applications, integrate AI with enterprise systems, and deploy scalable services on cloud-native Kubernetes infrastructure.
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 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
Skills
- 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
- Docker and **Kubernetes (AKS/EKS/GKE)** for containerized deployments
- 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
- 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
Benefits
- 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
Company Overview
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