Solutions Architect On Demand

Your team has the mission, the mandate, and the deadline — what it's missing is a senior AWS architect for this particular problem. CloudAI's Solutions Architect On Demand provides on-demand senior AWS Architects help for public sector and higher education teams, delivered as engagement-based design sprints rather than open-ended hours. Our architects live and breathe the AWS Well-Architected Framework and combine that with your organizational context — procurement cycles, compliance mandates, grant-funded budgets, legacy systems, and institutional realities — to architect solutions you can actually build and defend.

Most "architect-as-a-service" offerings are generalist chat channels priced by access. That works for a commercial startup. It doesn't work for a state agency preparing a StateRAMP submission, a university research team scaling a grant-funded HPC workload, or a public health department modernizing a legacy case management system under audit. CloudAI is different. We translate requirements into secure, scalable designs with clear documentation — diagrams, Architecture Decision Records (ADRs), and prioritized backlogs — plus a pragmatic 30/60/90-day roadmap your engineers, your leadership, and your auditors can all work from. Every engagement produces artifacts your team owns, not a transcript of a chat session.

Learn more about our full portfolio of cloud solutions at https://cloudaillc.com/solutions/cloud-engineering .

CloudAI Solutions Architect On Demand engagements include, but are not limited to:

• Reference architectures for common public sector and higher-ed workload patterns — student information systems, research computing, HIPAA research environments, case management, grant reporting, and citizen-facing portals
• Landing Zone alignment reviews against your existing AWS Control Tower and Landing Zone Accelerator (LZA) deployment
• Workload design reviews for new applications — security, resilience, cost, operational readiness, and data strategy
• AWS Well-Architected Reviews with a prioritized remediation backlog mapped to owners and effort estimates
• Implementation guidance during build — design decisions, ADRs, code reviews, and tradeoff analyses
• Cloud-native modernization design — Amazon EKS, serverless on AWS Lambda, event-driven architectures, microservices, and data platform design on Amazon S3, AWS Glue, Amazon Redshift, and Amazon SageMaker
• AI/GenAI workload design with guardrails on Amazon Bedrock, Bedrock AgentCore, and SageMaker governance
• 30/60/90-day implementation roadmaps with clear milestones, dependencies, risk register, and executive-ready summary