Note: The job is a remote job and is open to candidates in USA. Cotiviti is seeking a highly experienced Principal AI Engineer to lead the architecture and development of an agentic framework and centralized AI platform supporting the organization’s AI initiatives. The role owns the technical architecture for the Risk Adjustment Coding Agent, develops clinical AI capabilities, mentors engineering teams, and ensures scalable, secure, explainable, auditable, and compliant AI solutions.
Responsibilities
- Design and implement scalable agentic solutions for diverse use cases
- Leverage a broad stack of Open-Source AI technologies to build and maintain a centralized AI platform with unified APIs for cross-functional team access and build various types of agents
- Work with Product Engineers to integrate AI agents into customer-facing applications and internal tools
- Lead technical discussions, mentor junior engineers, and help set the technical vision for the AI platform roadmap
- Ensure compliance with security, privacy, and regulatory requirements across the software development lifecycle
- Optimize performance of AI-powered workloads across compute and storage layers using cloud-native and open-source solutions
- Conduct performance analysis and capacity planning to ensure platform scalability
- Complete all responsibilities as outlined in the annual performance review and/or goal setting
- Complete all special projects and other duties as assigned
- Must be able to perform duties with or without reasonable accommodation
Skills
- * Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- * 12+ years of software engineering experience, including 2+ years working on AI/ML platforms or infrastructure
- * Experience in 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 (e.g., Docker, Kubernetes)
- * Understanding of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks
- * Cloud platform experience (AWS, GCP, or Azure)
- * Ability to navigate complex, ambiguous and fast-changing technologies and requirements
- * Ability to work independently as well as collaborate as a team with a sense of urgency
- * Professional with ability to properly handle confidential information
- * Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort
- * Ability to handle multiple tasks, prioritize and meet deadlines
- * Flexibility to work with global teams as well geographically dispersed US based teams
- * Must be able to provide high-speed internet access / connectivity and office setup and maintenance
- * Must be able to provide a dedicated, secure work area
- * Experience in Risk Adjustment coding
Benefits
- This role is eligible for discretionary bonus consideration.
- Medical, dental, vision, disability, and life insurance coverage
- 401(k) savings plans
- 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 with Cotiviti
- This job will be based remotely
Company Overview
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