Senior AI Platform Architect — Cloud-Scale ML Systems

Technology Partners, Inc.; Columbus (OH); Hybrid; USD 68,000 - 96,000; Full time

Job summary

Technology Partners, Inc. seeks a Principal AI Software Architect to lead the design, development, and deployment of AI-driven platforms.

You will collaborate with multiple teams to define use cases and deliver scalable solutions aligned with business goals, guiding technology choices and establishing best practices in MLOps and DevOps. The role requires 7+ years in software architecture, 2+ years in AI/ML, and cloud experience across Azure, AWS, or GCP.

Qualifications

• 7+ years of experience in software architecture and engineering, with at least 2 years focused on AI/ML systems.
• Experience designing and deploying AI/ML solutions at scale in Azure, AWS, or GCP.
• Hands-on with Visual Studio .NET and MS SQL Server.
• Strong leadership and mentoring abilities.
• Knowledge of data privacy laws and security standards.

Responsibilities

• Lead design, development, and deployment of AI-driven platforms.
• Collaborate across teams to define use cases and deliver solutions.
• Evaluate AI frameworks and promote AI best practices (MLOps, DevOps).
• Mentor engineering teams to drive innovation.
• Drive technical strategy and ensure data privacy and security compliance.
• Promote CI/CD and automated testing.

Skills

AI/ML systems

Cloud platforms

Leadership

Communication

Data privacy

Problem solving

Education

Bachelor’s degree in computer science, information systems, or computer engineering, or equivalent experience.

Tools

Visual Studio .NET

MS SQL Server

Job description

Technology Partners, Inc. seeks a Principal AI Software Architect to lead the design, development, and deployment of AI-driven platforms.

You will collaborate with multiple teams to define use cases and deliver scalable solutions aligned with business goals, guiding technology choices and establishing best practices in MLOps and DevOps. The role requires 7+ years in software architecture, 2+ years in AI/ML, and cloud experience across Azure, AWS, or GCP.