US|Machine Learning Engineer V

Job#: 3025381

Job Description:
AI Engineer - Architecture & Foundry Deployment

Location: Houston, TX (Onsite Required)

Position Type: Long-term Contract
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
  • Configuring grounding
  • Managing token limits across regions and subscriptions
  • Multi-region/multi-sub deployment patterns
• AI/ML architecture experience, particularly:
  • Deployment patterns
  • 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
  • Automating Azure resource deployments via Ansible scripts

Nice-to-Have Skills

• Azure Machine Learning (pipelines, endpoints, registries)
• Traditional ML or data science exposure
• Experience with Azure Kubernetes Service (AKS)

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.