Enterprise Architect (AI/Cloud)

Location: San Francisco, California, United States; hybrid workplace

Company

hirify.global delivers technology consulting and enterprise transformation solutions across cloud infrastructure, AI, and modernization.

What you will do

• Define enterprise architecture roadmaps, cloud strategies, and target-state architectures tied to measurable business outcomes.
• Design and govern scalable cloud and hybrid infrastructure solutions across Azure, AWS, and GCP.
• Develop reference architectures, landing zones, modernization frameworks, and reusable solution blueprints.
• Advise CXOs and senior stakeholders on technology transformation, responsible AI adoption, and modernization strategies.
• Lead cloud migration, modernization, platform engineering, automation, DevOps, containerization, and infrastructure-as-code programs.
• Establish governance, security, compliance, FinOps, observability, and resilience controls for mission-critical AI workloads.

Requirements

• 18–21 years of experience, including extensive leadership in enterprise architecture, cloud infrastructure, and technology consulting.
• Expert-level experience with Azure, AWS, and GCP, including multi-cloud integration and provider-independent architecture patterns.
• Strong knowledge of enterprise architecture frameworks such as TOGAF or Zachman.
• Hands-on experience with Terraform, Azure Resource Manager, Kubernetes, Docker, cloud-native architectures, and automation frameworks.
• Expertise in cloud governance, security, compliance, FinOps, operational readiness, and infrastructure resilience.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.

Nice to have

• AWS Certified Solutions Architect, Azure Solutions Architect, or Google Professional Cloud Architect certification.
• TOGAF or equivalent enterprise architecture framework certification.
• Experience with AI model drift controls, auditability, human-in-the-loop safeguards, disaster recovery, and reusable solution accelerators.

Culture & Benefits

• Employee position with a hybrid work arrangement.
• Work within a Cloud, AI & Infrastructure Center of Excellence.
• Use of reusable architecture standards, best practices, governance frameworks, and solution accelerators.
• Hiring processes may use AI tools to review applications and assess application materials; final decisions are made by humans.