AI/ML Architect

Apexsync Technologies; Houston (TX); On-site; USD 100,000 - 130,000; Part time

Job summary

A technology solutions provider based in Houston is seeking an AI Engineer focused on architecture and deployment. This role involves designing and deploying scalable architectures for AI adoption across enterprises. The ideal candidate will have a strong background in software engineering, hands-on experience with Microsoft Foundry, and expertise in infrastructure automation using Ansible. This position emphasizes systems design and collaborative work within Azure environments.

Qualifications

• Strong software engineering background with design of production-grade systems.
• Hands-on experience with Microsoft Foundry deployments and token management.
• Infrastructure-as-Code (IaC) expertise with Ansible.

Responsibilities

• Design and deploy standardized architectures for enterprise AI products.
• Work within Microsoft Foundry for deployment and configuration.
• Build Ansible roles for automating infrastructure provisioning.

Skills

Software Engineering background

Microsoft Foundry

Ansible

Azure Kubernetes Service

Tools

Microsoft Foundry

Ansible

Azure ML

AKS

Job description

Title: AI Engineer – Architecture & Foundry Deployment

Location: Houston, TX (Onsite Required)

Position Type: Long-term Contract

Job Description

Overview

This team is driving the standardization of architecture across several large-scale, bespoke AI initiatives (“moonshots”) related to commercial optimization, workflows, and exploration. The goal is to create repeatable, scalable architectures that support enterprise-wide AI adoption.

Engineers in this role will receive high-level requirements from senior technical leaders and architects and translate them into practical, production-ready designs and deployments.

This position is posted under the Machine Learning Engineer title due to internal pay banding, but the work aligns more closely with an AI Engineer focused on architecture, deployment, infrastructure automation, and enterprise-scale AI platforms.

This role does not involve building or training models. Instead, the emphasis is on systems design, architecture, deployment, and hands-on work within Microsoft Foundry.

Key Responsibilities

• Design and deploy standardized, reusable architectures supporting multiple enterprise AI products.
• Work hands-on within Microsoft Foundry (previously AI Studio), including agent/sub-agent deployment, grounding configuration, and token management.
• Build and maintain Ansible roles to automate infrastructure provisioning, configuration, and deployment of Foundry and Azure resources.
• Use Ansible as an abstraction layer to manage complex, large-scale Azure environments across multiple regions and subscriptions.
• Support enterprise-wide Foundry deployments, including environment separation (prod/test/experimental) and regional/subscription architectures.
• Assist in building automation and integration patterns that streamline AI development and operations.
• Collaborate with software engineers, architects, and platform teams to accelerate standardization efforts.
• Work with Azure-based AI and ML tooling as needed, including Azure ML and AKS.

Must-Have Qualifications

• Strong Software Engineering background, including:
• Designing production-grade systems
• Applying reusable patterns, abstractions, and architectural standards
• Hands-on experience with Microsoft Foundry, including:
• Deploying and managing Foundry agents/sub-agents
• Managing token limits across regions and subscriptions
• Environment separation and promotion paths (prod/test/experimental)
• Infrastructure-as-Code (IaC) with Ansible, including:
• Building Ansible roles
• Using Ansible as a configuration management and abstraction layer

Nice-to-Have Skills

• Traditional ML or data science exposure
• Experience with Azure Kubernetes Service (AKS)