Cotiviti is seeking a Principal AI Engineer to design, build, and maintain a cutting-edge agentic framework and centralized AI platform to serve as the backbone of their AI initiatives, enabling secure deployment, management, and access of AI agents with 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
- 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
- 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.
- Ability to navigate complex 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.
