Lead AI Platform Engineer – Enterprise GenAI & Cloud

academy

Katy (TX)

On-site

USD 120,000 - 180,000

Full time

3 days ago

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Job summary

Academy Sports + Outdoors is seeking an experienced Platform Engineer to design, operate, and continuously improve enterprise AI platforms and integrations across Azure, M365, and other enterprise tech stacks. You will establish standards for release pipelines, environment management, and governance, while ensuring secure, scalable, and cost-effective solutions.

You will collaborate with AI engineering, Cybersecurity, Identity, and business teams, mentor engineers, and drive initiatives to

Qualifications

Bachelor's degree in CS/IT/Engineering or related field, or equivalent practical experience.
7+ years in platform engineering, DevOps, MLOps, cloud engineering, or related disciplines.
2+ years building or operating large language model, generative AI, or AI agent workloads.
Experience designing and supporting enterprise-scale cloud platforms and internal developer platforms.
Hands-on with Azure services, Power Platform, Entra ID, Copilot Studio, and related enterprise platforms.
Experience infrastructure as code, source control, CI/CD, and production support practices.
Experience integrating enterprise apps via REST APIs, OAuth, and service-to-service authentication.
Experience with platform monitoring, telemetry, cost controls, audit logging, and reporting.
Leadership of complex technical initiatives and mentoring engineers.
Retail, regulated, or multi-site enterprise experience preferred.
Certifications in Azure, Power Platform, identity and cloud security preferred.
Strong knowledge of cloud architecture, security, and privacy controls.

Responsibilities

Design, implement, operate, and improve enterprise AI platforms and integrations across Microsoft Azure, M365, Power Platform, Google, and other approved technologies.
Establish standards for source control, release management, deployment pipelines, environment separation, production readiness, and operational support.
Implement governance controls for inventories, ownership, risk tiering, identity, access, data protection, runtime protection, audit logging, and periodic recertification.
Manage model access, quotas, capacity, private networking, endpoints, and onboarding controls.
Build telemetry and consumption controls, enabling secure integrations with enterprise systems and documenting reusable patterns.
Lead technical initiatives, mentor engineers, and evaluate emerging capabilities to improve security, reliability, scalability, efficiency, and adoption.
Collaborate across AI engineering, Cybersecurity, Identity, Enterprise Architecture, Data, Legal, Finance, and business teams to ensure platforms are secure and cost effective.