Principal AI Engineer

Cotiviti

Principal AI Engineer building Cotiviti’s centralized AI platform for healthcare risk adjustment coding. Designing agentic systems, clinical AI capabilities, and compliant cloud-native infrastructure.

Posted 8/12/2026full-timeRemote • 🇺🇸 United StatesLead💰 $208,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable AI solutions, with a strong focus on building and maintaining AI platforms using open-source technologies. Proficient in developing APIs, ensuring compliance, and optimizing workloads in cloud environments.

Highest-signal resume keywords

AI/ML Platform DevelopmentPython ProgrammingContainerization and OrchestrationCloud Platform ExperienceAgentic AI Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringDistributed SystemsMicroservicesPerformance AnalysisCapacity Planning

Soft Skills

MentoringCollaborationIndependent WorkTask PrioritizationProfessionalism

Tools & Technologies

DockerKubernetesMLflowKubeflowSageMakerVertex AIDatabricksAWSGCPAzure

Industry Keywords

Regulatory ComplianceSecurityOpen-Source TechnologiesAI AgentsCloud-Native Solutions

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesMicroservicesPython

About the role

Key responsibilities & impact

Design and implement scalable agentic solutions for diverse use cases
Build and maintain a centralized AI platform using open-source AI technologies
Develop unified APIs for cross-functional team access and build various types of agents
Integrate AI agents into customer-facing applications and internal tools with Product Engineers
Lead technical discussions, mentor junior engineers, and help set the AI platform roadmap
Ensure security, privacy, and regulatory compliance across the software development lifecycle
Optimize AI-powered workloads across compute and storage layers using cloud-native and open-source solutions
Conduct performance analysis and capacity planning for platform scalability
Complete special projects and other assigned duties

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
12+ years of software engineering experience
2+ years working on AI/ML platforms or infrastructure
Experience building large-scale distributed systems and microservices
Strong programming skills in Python and Java
Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar
Experience with containerization and orchestration, such as Docker and Kubernetes
Understanding of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks
Cloud platform experience with AWS, GCP, or Azure
Ability to navigate complex, ambiguous, and fast-changing technologies and requirements
Ability to work independently and collaborate as a team
Ability to handle confidential information professionally
Ability to handle multiple tasks, prioritize, and meet deadlines
High-speed internet access/connectivity and office setup and maintenance
Dedicated, secure work area
Ability to perform duties with or without reasonable accommodation

Benefits

Comp & perks

Discretionary bonus consideration
Medical insurance
Dental insurance
Vision insurance
Disability insurance
Life insurance coverage
401(k) savings plan
Paid family leave
9 paid holidays per year
17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service
Remote work arrangement
Virtual interviews
Flexible work with global and geographically dispersed US-based teams