Public Cloud Solutions Architect (AI)

Location: Dallas, United States

Salary: $143,640–$273,000 per year, plus eligibility for a discretionary annual bonus and benefits.

Company

Designs, builds, manages, and modernizes mission-critical technology systems for enterprise clients.

What you will do

• Translate business goals into secure, well-architected public cloud solutions across AWS, Microsoft Azure, and Google Cloud.
• Lead discovery and assessment workshops, business cases, total-cost-of-ownership models, migration roadmaps, and modernization programs.
• Design landing zones, networking, identity, data, application, security, and governance patterns.
• Lead implementation teams through large-scale workload migrations and delivery of cloud-native platforms.
• Design AI and agentic AI solutions, including data and platform foundations and generative AI workloads.
• Mentor architects, create reference architectures and reusable 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 the 7 Rs, landing zones, well-architected design, and large-scale workload migration.
• Strong knowledge of compute, storage, networking, identity and access management, cloud security, governance, containers, Kubernetes, microservices, serverless, and application refactoring.
• Experience with AI and agentic AI solutions, infrastructure as code, automation, CI/CD, DevOps, security by design, and FinOps.
• Current associate- or professional-level certification for AWS, Azure, or Google Cloud, plus consulting and senior-stakeholder communication skills.

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.
• Specialization in multi-agent systems, AgentOps, retrieval-augmented generation, or enterprise large-language-model integrations.
• Experience mentoring architects, building reusable accelerators, or working in regulated industries.

Culture & Benefits

• Exposure to global projects, strategic initiatives, and Fortune 100 clients.
• Learning programs, mentorship, and support for professional certifications.
• Medical and dental coverage, disability and retirement benefits, paid leave, and paid time off.
• Inclusive workplace with employee inclusion networks and volunteering opportunities.