Sr Engineer AI Platform
Academy Sports + Outdoors1 day ago
Katy, TX, USASenior
Responsibilities
- Design, implement, operate, and continuously improve enterprise platforms and integrations supporting AI agents and generative AI solutions.
- Move approved AI solutions from prototype to reliable production use across Azure, Microsoft 365, Power Platform, Google, and other approved enterprise AI technologies.
- Establish standards for source control, release management, deployment pipelines, environment separation, production readiness, and operational support.
- Implement governance for inventories, ownership, risk tiering, identity, access, data protection, runtime protection, audit logging, recertification, model access, quotas, capacity, networking, endpoints, and onboarding.
- Build telemetry, consumption controls, secure enterprise integrations, automated evaluation and compliance checks, reusable patterns, and operational reporting.
- Lead technical initiatives, evaluate emerging capabilities, provide technical guidance, and mentor engineers and platform users.
- Partner with AI engineering, Cybersecurity, Identity, Enterprise Architecture, Data, Legal, Finance, business teams, solution owners, and approved citizen developers.
Requirements
- 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, DevOps, 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 ID, Copilot Studio, Power Platform administration, Azure AI services, or comparable enterprise platforms.
- Experience with infrastructure as code, source control, release gates, CI/CD pipelines, environment management, production support, REST APIs, OAuth, service-to-service authentication, connectors, and workflow tools.
- Experience implementing monitoring, incident response, usage telemetry, cost controls, audit logging, operational reporting, identity controls, data protection, and enterprise security practices.
- Experience leading complex technical initiatives and mentoring or guiding engineers and platform users.
- Preferred qualifications include retail, regulated, or multi-site enterprise experience and Microsoft Azure, Microsoft Power Platform, identity and access management, cloud security, DevOps, MLOps, or related platform certification.
- Proficiency in Python, PowerShell, or another scripting language used for platform automation, with strong troubleshooting, documentation, analytical, communication, and problem-solving skills.
Benefits
- Regular in-office attendance is required.
- A flexible work schedule may be required for business needs, platform changes, production incidents, or scheduled maintenance.
- The role requires acceptable hearing and vision and adherence to company policies and professional standards.