Principal AI Engineer
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Before you apply
Salary$208k – $260k
LocationRemote, UNAVAILABLE, US
Work moderemote · United States
Typefull-time
SeniorityLead
Experience12+ yrs
DepartmentEngineering/IT
Company size1,001–5,000 people
PostedAug 12, 2026 · 2mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
12+ years of software engineering experience
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
Experience in Risk Adjustment coding
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
Must be able to perform duties with or without reasonable accommodation
Skills
Python
Java
LangChain
LangGraph
CrewAI
AutoGen
Docker
Kubernetes
MLflow
Kubeflow
SageMaker
Vertex AI
Databricks
AWS
GCP
Azure
Benefits
Health insurance
Dental insurance
Vision insurance
Disability insurance
Life insurance
401(k)
Paid family leave
Paid holidays
PTO
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.
Legal
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.
Benefits
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.
Hiring process
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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