AI Engineer

Job Family

Data Engineering & Architecture Consulting

Up to 25%

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.

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/Sage Maker, 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

• 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 $-$. 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.

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 Pay Down
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

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

Guidehouse will consider…