Sr Engineer AI Platform
Listed on 2026-10-24
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Software Development
DevOps, Cloud Engineer - Software, Azure, Software Engineer
At Academy Sports + Outdoors our vision is to be the best sports + outdoors retailer in the country — but what truly sets us apart is our people. We’re a passionate, purpose-driven team that’s as committed to each other as we are to our customers. We’ve spent over 80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member’s journey.
What fuels us? Our belief in the power of fun. Here, you won’t just help customers gear up for their next adventure — you’ll launch one of your own. Whether you're starting out or leveling up, Academy is a place where fun can’t lose!
- Your work helps teams move approved AI solutions from prototype to reliable production use across Microsoft Azure, Microsoft 365, Power Platform, Google, and other approved enterprise AI technologies.
- You provide technical leadership for platform services that are secure, scalable, observable, cost-managed, governed, and supportable across development, test, and production environments.
- Working across the platform lifecycle, you establish standards for source control, release management, deployment pipelines, environment separation, production readiness, and operational support.
- You implement governance controls for inventories, ownership, risk tiering, identity, access, data protection, runtime protection, audit logging, and periodic recertification, while also managing model access, quotas, capacity, private networking, endpoints, and onboarding controls.
- Your work also includes building telemetry and consumption controls, enabling secure integrations with enterprise systems, embedding automated evaluation and compliance checks, documenting reusable patterns, leading technical initiatives, mentoring engineers, and evaluating emerging capabilities that can improve security, reliability, scalability, efficiency, and adoption.
You will partner across AI engineering, Cybersecurity, Identity, Enterprise Architecture, Data, Legal, Finance, and business teams to ensure AI platforms and integrations are secure, governed, supportable, and cost effective. You will also work directly with engineers, platform users, solution owners, business power users, and approved citizen developers, providing standards, documentation, enablement materials, technical guidance, and mentorship that support safe and consistent adoption.
WhatYou Bring
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data, or a related field, or equivalent practical experience
- 7+ years of experience in platform engineering, infrastructure engineering, Dev Ops, MLOps, cloud engineering, integration engineering, or related disciplines
- 2+ years of experience building or operating platforms for large language model, generative AI, AI agent, or intelligent automation workloads
- Experience designing, implementing, and supporting enterprise-scale cloud platforms, shared services, or internal developer platforms used by multiple teams
- Hands‑on experience with Microsoft Azure, Microsoft 365, Entra , Copilot Studio, Power Platform administration, Azure AI services, or comparable enterprise platforms
- Experience implementing infrastructure as code, source control, release gates, CI/CD pipelines, environment management, and production support practices
- Experience integrating enterprise applications through REST APIs, OAuth, service‑to‑service authentication, connectors, workflow tools, and systems of record
- Experience implementing platform monitoring, incident response, usage telemetry, cost controls, audit logging, and operational reporting
- Experience leading complex technical initiatives, establishing…
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