AI Engineer
Guidehouse•Tysons, VA
•$130,000 - $216,000•Hybrid
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
