ACTIVE
Sage IT
Frisco, Texas

ML/AI Platform Architect / Engineer

Created 07/14/2026 JID100100373San Francisco, California, US
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Remote 5 – 0 yrs Experience
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Job Details

Primary Skills
Python, Kubernetes, Docker, Azure
Secondary Skills
AI/ML platform engineering, cloud architecture, MLOps, AI governance, security, compliance, observability
Experience
5 to 0 years
Education
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Work Mode
Remote
Engagement Type
—

Primary Skills

  • Python
  • Kubernetes
  • Docker
  • Azure

Secondary Skills

  • AI/ML platform engineering
  • cloud architecture
  • MLOps
  • AI governance
  • security
  • compliance
  • observability

Job Description

About the Role

Strong domain knowledge in key practices including AI/ML platform engineering, cloud architecture, MLOps, AI governance, security and more is essential for this role. This role requires strong ability to collaborate with cross-functional teams, identify defects early in the development cycle, and ensure high-quality product delivery.

Experience Required: 5+ years

Primary Skills

  • Python
  • Kubernetes
  • Docker
  • Azure

Secondary Skills

  • AI/ML platform engineering
  • cloud architecture
  • MLOps
  • AI governance
  • security
  • compliance
  • observability

Soft Skills

  • problem-solving
  • communication

Responsibilities

  • Design and own the end-to-end architecture for enterprise AI/ML platforms.
  • Build and operationalize Feature Store and Model Catalog capabilities to support reusable feature engineering, model versioning, and self-service ML adoption.
  • Develop and manage Agentic AI platform infrastructure, including agent runtimes, orchestration frameworks, tool integrations, and agent lifecycle management.
  • Establish and maintain Agent Catalog capabilities to enable deployment, discovery, monitoring, and governance of AI agents.
  • Design and implement AI governance controls, including access management, policy enforcement, audit logging, monitoring, and observability.
  • Develop MLOps pipelines and cloud-native deployment frameworks to support scalable AI/ML workloads.
  • Collaborate with Data Science, Engineering, Security, and Business teams to deliver enterprise AI solutions.

Requirements

  • 5+ years of experience in AI/ML platform engineering, cloud architecture, or MLOps.
  • Strong experience with AI/ML platforms, Feature Stores, Model Registries/Catalogs, and MLOps frameworks.
  • Hands-on experience with Agentic AI, LLM platforms, and orchestration frameworks.
  • Proficiency in Python, APIs, Kubernetes, Docker, and cloud platforms (Azure preferred).
  • Knowledge of AI governance, security, compliance, and observability best practices.
  • Strong problem-solving, architecture, and communication skills.

About the Company

Sage IT

Frisco, Texas

Company description will appear here once available.

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· Remote

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