AI Engineer at Guidehouse

Job Family

Data Engineering &

• Architecture Consulting Travel Required: Up to 25%
• Clearance Required: None 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.
• What You Will Do: 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.
• What You Will Need: 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.
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