Lead ML Platform Architect

NTT DATA North America; Charlotte (NC); On-site; USD 150,000 - 230,000; Full time

Job summary

NTT DATA North America is seeking a Lead ML Platform Engineer in Charlotte, NC to drive architecture and hands-on leadership for the Cortex Predictive AI Platform. You will enable data scientists, ML engineers, and application teams to build, validate, deploy, and operate predictive models efficiently and reliably.

You will lead design decisions across the ML platform lifecycle, mentor teams, and ensure secure, scalable platform operations with incident response and runbooks.

Qualifications

• 8+ years of experience in platform engineering, cloud engineering, SRE, MLOps, or related roles.
• 4+ years designing, building, or operating enterprise AI/ML or data platforms.
• Experience leading architecture and engineering delivery for complex, production-grade cloud and/or on-premises platforms.
• Strong hands-on experience with GCP and multi-cloud or hybrid-cloud architecture.
• Experience with Kubernetes-based platforms (GKE, OpenShift) in production.
• Experience implementing MLOps capabilities, model lifecycle workflows, or ML platform services.
• Proficiency in Python for automation, tooling, or ML workflows.
• Experience with CI/CD, Git-based development, automated testing, and IaC practices.
• Strong understanding of enterprise security, data protection, IAM, encryption, audit logging, and secure software delivery.
• Experience observability, monitoring, dashboards, SLI/SLOs, incident response, and runbooks.
• Experience mentoring engineers and communicating architecture decisions to stakeholders.

Responsibilities

• Define and lead target architecture for predictive AI and ML platform capabilities across cloud and on-premises.
• Design, build, and operate reusable platform services for end-to-end ML lifecycle.
• Establish scalable reference architectures, engineering standards, and templates for Cortex platform workloads.
• Lead platform engineering for GCP and multi-cloud environments with secure connectivity and governance.
• Design and operate Kubernetes-based ML platforms using GKE and OpenShift.
• Implement MLOps capabilities including experiment tracking, model packaging, validation, and deployment gates.
• Build CI/CD pipelines and infrastructure automation for platform services and ML workflows.
• Enable model migration from legacy environments into Cortex platform patterns.
• Engineer real-time and batch inference with scalable serving patterns and observability.
• Collaborate with data governance, security, and application teams to embed data protection.

Skills

Platform engineering

Cloud engineering

MLOps

GCP

Kubernetes

Python

CI/CD

Security

Observability

Leadership

Tools

GKE

OpenShift

Job description

NTT DATA North America is seeking a Lead ML Platform Engineer in Charlotte, NC to drive architecture and hands-on leadership for the Cortex Predictive AI Platform. You will enable data scientists, ML engineers, and application teams to build, validate, deploy, and operate predictive models efficiently and reliably.

You will lead design decisions across the ML platform lifecycle, mentor teams, and ensure secure, scalable platform operations with incident response and runbooks.