Principal AI Engineer

Overview

We are seeking a highly experienced Principal AI Engineer to lead the architecture, design, and development of a cutting-edge agentic framework and centralized AI platform that serves as the foundation for the organization's AI initiatives. As the technical lead for the Risk Adjustment (RA) Coding Agent, you will own the end-to-end technical architecture—from clinical NLP integration and production routing to core AI platform components that enable scalable, secure, and compliant AI solutions across clinical use cases. You will design advanced clinical AI capabilities, including evidence classifiers, structured clinical evidence graphs, and deterministic policy engines that produce explainable, auditable decisions in a CMS-regulated environment. Working closely with Data Scientists, MLOps Engineers, Data Engineers, and Product Engineering teams, you will establish foundational architecture, mentor engineering teams, and drive the technical vision, governance, and evaluation frameworks that ensure platform scalability, reliability, and regulatory compliance.

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.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.

Qualifications

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)

Nice to have

Experience in Risk Adjustment coding

Cognitive/Metal Requirements

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.

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 $208,000 to $260,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.

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.

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting

8/12/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 11/12/2026, 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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When asked about Cotiviti, this is what Laury had to say!

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A little more than three years ago, I found Cotiviti by chance, and I learned …

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Laury

Coding Trainer

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Cotiviti is an equal employment opportunity employer. Cotiviti recruits, hires and promotes individuals based on their qualifications for a specific job. Selection of employees is made without regard to race, color, creed, sex, age, religion, pregnancy or pregnancy-related conditions, national origin, sexual orientation, gender identity, marital status, genetic carrier status, military service, veteran status, uniformed service member status, disability, or any other category of class protected by federal, state or local laws. All employment decisions and personnel actions, such as hiring, promotion, compensation, benefits, and termination, are and will continue to be administered in accordance with, and to further the principle of, equal employment opportunity.

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Cotiviti will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-I.35(c)