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# AI Engineer

- **Company:** Guidehouse Inc.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $216,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Search Technologies, Software Engineering, Enterprise Software Applications, Istio, Large Language Models, Generative AI, Backend, AI Platforms, Kubernetes, Machine Learning Operations, Api Design, Data Pipelines, Docker, Microservices
- **Published:** September 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0b2929f305b2d162

## About the Role

* 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

## Description

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., 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.