Principal AI Infrastructure Engineer (remote)

At Multiplan, we are revolutionizing healthcare payments through innovative solutions and data-driven insights. As the Principal AI Engineer, you will lead the advancement of our AI capabilities, focusing on engineering excellence and leveraging latest generative AI to enhance our end-to-end operations from experimentation to deployment. Your role will involve design and rollout of secure, scalable GenAI pipelines across cloud and on-prem environments, using CI/CD automation. Join us in transforming the healthcare landscape!

 

Key Responsibilities:

• Enhance AI Operations: Prototype and utilize latest generative AI LLMs and tools to streamline processes and tools, enabling faster and more effective AI Agents development across various verticals.
• Lead R&D Efforts: Lead infrastructure automation, CI/CD, and monitoring for model training, fine-tuning, serving, and retraining workflows.
• Stakeholder Collaboration: Partner with stakeholders to identify opportunities for new AI-driven products through data insights.
• Program-Level Initiatives: Lead initiatives focused on the initial development of AI-powered products.
• Ethical AI/ML Practices: Ensure AI models are transparent, relevant, and ethically used.
• Collaboration: Collaborate with data scientists, cloud architects, and security teams to operationalize ML/LLM applications reliably and securely.
• Compliance: Ensure robust PHI/PII compliance (HIPAA, SOC2) across all environments.

Job Scope:

This role requires ownership with minimal technical guidance, handling end-to-end infrastructure and deployment lifecycle for GenAI applications in a highly regulated, multi-cloud setup. You will constantly Evaluate and integrate new model families (e.g., xAI, Gemini, GPTx) into secure production-ready stacks.

 

COMPENSATION

The salary range for this position is $170K to $190K.  Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity.  This position is also eligible for health insurance, 401k and bonus opportunity.

Qualifications JOB REQUIREMENTS (Education, Experience, and Training):

• Education: Bachelor's in Computer Science or Engineering related fields; Master's or PhD preferred.
• Experience: 8–12+ years of experience in DevOps, ML infrastructure, or cloud platform engineering.
• Technical Skills: Strong hands-on with Cloud environments preferably OCI or Azure, Databricks, and Kubernetes (OKE/AKS). Proven experience building secure, scalable ML/LLM CI/CD pipelines.
• Other Skills: Familiarity with compliance frameworks (HIPAA, SOC2) in ML environments.

Preferred Experience: Expertise in open-weight model hosting

 

BENEFITS

We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs.  Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities.

 

Your benefits will include:

• Medical, dental and vision coverage with low deductible & copay
• Life insurance
• Short and long-term disability
• Paid Parental Leave
• 401(k) + match
• Employee Stock Purchase Plan
• Generous Paid Time Off – accrued based on years of service
  • WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional years of service
• 10 paid company holidays
• Tuition reimbursement
• Flexible Spending Account
• Employee Assistance Program
• Sick time benefits – for eligible employees, one hour of