обновлено 4 дня назад
Public Cloud Solutions Architect (AI)
143 640 - 273 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Public Cloud Solutions Architect (AI) (AWS/Azure/Google Cloud): Designing and delivering enterprise cloud architectures, migration and modernization roadmaps, landing zones, and AI and agentic AI solutions with an accent on multi-cloud platforms, security, governance, and cost optimization. Focus on leading client workshops, building TCO and ROI models, guiding implementation teams, and developing reusable automation and reference architectures.
Location: CIO KPop-Dallas, United States
Salary: $143,640–$273,000 per year, plus eligibility for a discretionary annual bonus.
Company
designs, builds, manages, and modernizes mission-critical technology systems for enterprise clients.
What you will do
- Translate business goals into secure, well-architected solutions across AWS, Microsoft Azure, and Google Cloud.
- Lead discovery and assessment workshops, business cases, TCO and ROI modeling, and cloud migration and modernization roadmaps.
- Design landing zones, networking, identity, data, application, security, and governance patterns.
- Lead implementation teams through large-scale workload migrations and delivery of cloud and AI solutions.
- Design AI and agentic AI architectures, including data and platform foundations and cloud AI/ML services.
- Mentor architects, create reusable reference architectures and accelerators, and improve delivery standards through automation.
Requirements
- 8+ years designing and delivering enterprise IT solutions, including 4+ years in public cloud architecture.
- Hands-on architecture experience with at least one major hyperscaler and working knowledge of a second; multi-cloud experience is strongly preferred.
- Experience leading cloud migration and modernization programs, including landing zones, well-architected design, and large-scale workload migration.
- Strong knowledge of compute, storage, networking, IAM, cloud security, governance, containers, Kubernetes, microservices, serverless, and application refactoring.
- Experience with AI and agentic AI solutions, infrastructure as code, automation, CI/CD, DevOps, FinOps, and cloud adoption frameworks.
- At least one current associate- or professional-level AWS, Azure, or Google Cloud certification, plus client consulting and senior stakeholder management experience.
Nice to have
- Professional- or expert-tier and multi-cloud certifications.
- Consulting, professional services, or systems integrator experience with enterprise clients.
- Experience with hybrid and on-premises-to-cloud platforms such as VMware Cloud Foundation, Nutanix, AWS Outposts, Azure Stack/Arc, or Google Distributed Cloud.
- Expertise in multi-agent systems, AgentOps, retrieval-augmented generation, and enterprise large language model integrations.
- Experience mentoring architects and working in regulated industries involving data sovereignty and compliance.
Culture & Benefits
- Exposure to global projects, strategic initiatives, and enterprise clients.
- Learning programs, mentorship, and support for professional certifications.
- Medical and dental coverage, disability benefits, retirement benefits, paid leave, and paid time off.
- Inclusive workplace with employee inclusion networks and volunteering and giving opportunities.
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