Senior AI Platform Architect for Scalable Infra

BravoTECH; Richardson (TX); On-site; USD 170,000 - 250,000; Full time

Job summary

BravoTECH seeks a Senior Lead AI Platform Engineer in Richardson, TX to build an enterprise AI platform from the ground up, enabling internal teams to securely deploy and operate AI workloads at scale. The role focuses on platform engineering, cloud infrastructure, Kubernetes, DevOps and automation.

You will design production-ready infrastructure, set engineering standards, and drive reliable AI deployments across cloud environments.

Qualifications

• 8–10 years of software or platform engineering experience.
• 7+ years building and operating production systems in AWS, GCP, or hybrid clouds.
• 2+ years deploying AI/ML services in production.
• 4+ years scripting in Python and/or JavaScript.
• Strong experience with Docker, Kubernetes, GitHub Actions, Terraform, and Helm.
• Designing secure auth: OAuth 2.0, OIDC, SAML, JWT, RBAC, IAM.
• Strong Linux, Kubernetes, networking, and production troubleshooting.

Responsibilities

• Design and implement secure, scalable AI platform architectures.
• Automate infrastructure provisioning, CI/CD pipelines, and deployments.
• Operate highly available AI platform services with observability and DR.
• Collaborate with cloud, DevOps, platform, and security teams on governance.
• Lead design reviews, mentor engineers, and promote secure solutions.
• Improve reliability and efficiency through automation and standardization.

Skills

Platform engineering

Cloud infrastructure

Mentoring engineers

Tools

Docker

Kubernetes

GitHub Actions

Terraform

Helm

OAuth 2.0

OIDC

Job description

BravoTECH seeks a Senior Lead AI Platform Engineer in Richardson, TX to build an enterprise AI platform from the ground up, enabling internal teams to securely deploy and operate AI workloads at scale. The role focuses on platform engineering, cloud infrastructure, Kubernetes, DevOps and automation.

You will design production-ready infrastructure, set engineering standards, and drive reliable AI deployments across cloud environments.