Cotiviti is seeking a highly experienced Principal AI Engineer to design, build, and maintain a cutting-edge agentic framework and centralized AI platform that will serve as the backbone of the organization's AI initiatives. This role will be responsible for creating a unified interface that enables teams across the company to securely deploy, manage, and access AI agents while ensuring seamless data integration and platform reliability.
Requirements
- 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. Experience in Java or Go a plus.
- 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).
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.
Other
- Ability to work independently as well as collaborate as a team with a sense of urgency.
- Professional with the 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 as geographically dispersed US-based teams.
