Enterprise Architect - AI Platforms & Tools
GTN Technical Staffing
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Benefits offered by this job
Job summary
Qualifications
- 8+ years of experience in enterprise or solution architecture, with a focus on AI.
- Strong expertise with cloud-native AI technologies and machine learning frameworks.
- Proven track record designing solutions for large retail ecosystems.
Responsibilities
- Architect scalable AI solutions for global retail operations.
- Develop enterprise architecture roadmaps for AI platforms.
- Evaluate and integrate AI technologies into data and cloud environments.
Skills
Education
Tools
Job description
This range is provided by GTN Technical Staffing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
$180,000.00/yr - $220,000.00/yr
Direct message the job poster from GTN Technical Staffing
About the Role
We’re looking for an experienced Enterprise Architect to help shape the future of our global retail operations through advanced AI platforms and tools. In this role, you’ll design and lead enterprise-scale AI solutions that power critical areas of our business—everything from supply chain optimization and inventory forecasting to personalized member experiences and operational excellence.
As part of our enterprise architecture team, you’ll collaborate with senior leaders, data scientists, and engineering teams to define the strategy and technical direction for our AI initiatives. This is a highly visible position where your work will have a direct impact on how millions of members around the world shop with us.
- Architect scalable AI solutions to support global retail operations, including inventory planning, pricing optimization, member personalization, and fraud prevention.
- Develop enterprise architecture roadmaps for AI platforms, ensuring alignment with company strategy and business priorities.
- Evaluate and integrate AI technologies and tools into our data, analytics, and cloud environments to maximize scalability and performance.
- Partner with cross-functional teams, including supply chain, merchandising, and IT operations, to deliver impactful solutions that drive measurable business outcomes.
- Establish governance, security, and compliance standards for AI implementations, including responsible AI practices.
- Lead architecture reviews and provide mentorship to engineers and solution architects.
- Stay current on emerging AI and retail technology trends, providing thought leadership to guide innovation initiatives.
Required:
- Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
- 8+ years of experience in enterprise or solution architecture, with at least 3+ years focused on AI or advanced analytics platforms.
- Strong expertise with cloud-native AI technologies (AWS, Azure, or GCP) and machine learning frameworks (e.g., TensorFlow, PyTorch, SageMaker, Vertex AI).
- Experience with modern data architectures and MLOps practices at enterprise scale.
- Proven track record designing solutions that support large, complex retail or supply chain ecosystems.
- Excellent communication skills and the ability to influence senior business and technical stakeholders.
- Experience with global retail operations, e-commerce, or membership-based businesses.
- Knowledge of enterprise compliance frameworks relevant to retail, such as PCI, GDPR, or CCPA.
- Familiarity with real-time analytics and AI-driven demand forecasting.
- Play a key role in modernizing a global retail technology ecosystem that directly serves millions of members worldwide.
- Work with a collaborative, innovative team committed to operational excellence and customer experience.
- Competitive base salary ($200k–$220k) plus variable compensation.
- Comprehensive benefits package including health, dental, vision, and 401(k).
This role is based in San Diego, CA. Candidates must either live locally or be willing to relocate. A hybrid work arrangement is available, but onsite collaboration will be required.
- Mid-Senior level
- Full-time
- Engineering and Information Technology
- Industries: Retail and Technology, Information and Media
Referrals increase your chances of interviewing at GTN Technical Staffing by 2x
Medical insurance
Vision insurance
401(k)
Disability insurance
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