AI Engineer

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.

• 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

The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

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

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.