Principal Artificial Intelligence AI Engineer

We are 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 our 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. The role will work closely with

Data Scientists, MLOps engineers, Data Engineers, and Product Engineering teams.

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.

• 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. 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).

Cognitive / Mental Requirements:

• 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.
• 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.

Physical Requirements and Working Conditions:

• 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.

Base compensation ranges from $210,000 to $250,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

Date of posting: xx/xx/2025

Applications are assessed on a rolling basis. We anticipate that the application window will close on xx/xx/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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