AI Engineer

Guidehouse; Washington (District of Columbia); On-site; USD 130,000 - 216,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave & Adoption Assistance

Tuition Reimbursement

Mobility Stipend

Employee Referral Program

Career development & learning

Job summary

Guidehouse is seeking an AI Engineer to design, develop, validate, and deploy AI-enabled capabilities across a Revenue Cycle Management platform. This role builds production-grade AI systems for claims, denials, AR management, coding, and analytics, deploying on cloud-native, containerized infrastructure via Kubernetes.

Expect hands-on work with Python, APIs, Docker, and multi-cloud AI platforms; strong emphasis on CI/CD, MLOps, governance, and integration with enterprise data pipelines.

Qualifications

• Minimum of five years of experience delivering AI solutions from prototype to production.
• Experience with LLMs, RAG, and generative AI application development.
• Strong Python and API development skills.
• Cloud AI platforms experience (Azure AI, AWS Bedrock/SageMaker, GCP Vertex AI).
• Data pipelines, ETL/ELT, and enterprise data integration.
• CI/CD and MLOps for production AI systems.
• AI governance including explainability and auditability.

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.
• 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.

Skills

Python

APIs

Backend microservices

LLMs

RAG

Generative AI

CI/CD

MLOps

Data pipelines

Cloud platforms

Docker

Kubernetes

Tools

Docker

Kubernetes

AKS

EKS

GKE

Azure AI

SageMaker

Vertex AI

Job description

Job Family:Data Engineering & Architecture ConsultingTravel Required:Up to 25%Clearance Required:NoneGuidehouse 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 developmentPython, APIs, and backend microservices engineeringCloud AI platforms (Azure AI, AWS Bedrock/SageMaker, GCP Vertex AI)Data pipelines, ETL/ELT, and enterprise data integrationVector databases, embeddings, and semantic searchAI/ML model evaluation, validation, and monitoringCI/CD and MLOps for production AI systemsAI governance (explainability, auditability, compliance)Experience delivering AI solutions from prototype to productionWhat 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 QualificationsExperience 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 LikeAI 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 deploymentsThe 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 InsurancePersonal and Family Sick Time & Company Paid HolidaysPosition may be eligible for a discretionary variable incentive bonusParental Leave and Adoption Assistance401(k) Retirement PlanBasic Life & Supplemental LifeHealth Savings Account, Dental/Vision & Dependent Care Flexible Spending AccountsShort-Term & Long-Term DisabilityStudent Loan PayDownTuition Reimbursement, Personal Development & Learning OpportunitiesSkills Development & CertificationsEmployee Referral ProgramCorporate Sponsored Events & Community OutreachEmergency Back-Up Childcare ProgramMobility StipendAbout GuidehouseGuidehouse 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.If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [e-mail]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [e-mail]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.