Architecture for teamsbuilding with AI.
Independent AWS architect. I design and implement AI systems — agents, inference, RAG — built to scale and stay cost-efficient. Fixed-scope engagements, full handoff, no retainers.
Fixed price. Scope defined before kickoff. You see the plan before you commit to the build.
- Bedrock
- Agents
- Inference
- RAG
- FinOps
AI systems, architecture, cost, and reliability.
Every engagement starts with a fixed-scope assessment across these areas. Design and implementation follow when you decide to — never a retainer.
AI Agent & Inference Architecture
Design and implementation of AI systems on AWS — Bedrock Agents, multi-agent orchestration, RAG pipelines, and inference architecture built to scale and stay within budget.
- AI Agents
- Bedrock
- Multi-Agent Systems
Cloud Architecture & Modernization
Moving from rigid systems to architectures that can change without ceremony. Phased, never big-bang.
- Cloud Migration
- Modernization
- Serverless
High-Availability Design
Resilience designed for the business cost of downtime. Multi-region, fault-tolerant, documented.
- High Availability
- Multi-Region
- Fault Tolerant
FinOps & Cost Optimization
Cost-aware design for Bedrock, inference and RAG — token economics, model tiering, spend analysis and Savings Plan modeling.
- FinOps
- Cost Optimization
- Savings Plans
Security & Compliance
IAM review, network exposure, encryption posture, Well-Architected alignment.
- IAM
- Well-Architected
- Compliance
A structured assessment. Defined scope. Defined deliverable.
Every engagement starts with a structured assessment — whether the goal is fixing what's running today or designing what's next. I review cost, security, and architectural posture — including AI and agent workloads — then deliver a written report with severity-rated findings and a prioritized roadmap: for remediation, or for the build ahead.
Cost Analysis
Full cloud spend analysis and resource inventory. Identification of unused, idle, and over-provisioned resources. Reserved Instance and Savings Plan modeling. Tagging and cost allocation assessment.
Security & Compliance Review
IAM users, roles, policies, and MFA review. Network exposure and security group drift. Encryption at rest and in transit. Well-Architected Security Pillar alignment.
Architecture & Reliability Audit
Logging and monitoring coverage. Backup and disaster recovery posture. Single points of failure and scaling readiness — including AI/agent workload design fit. Documented controls suitable for audit evidence.
AWS environments that grew faster than their governance.
An AI bill nobody can explain
Inference, Bedrock and vector-store costs climb every month and no one can point to why. Runway burns on spend you can't yet attribute.
Spend that scales faster than revenue
Usage-based AI costs grow with traffic, not margin. Without controls, a successful launch becomes a budget problem.
Architecture decided in a hurry
The stack that got you to product-market fit wasn't designed for cost or scale. Every new feature compounds the bill.
No one owns the infrastructure
Your engineers are shipping product, not governing cost, security or reliability. The work that protects runway never gets prioritized.
An AI system that doesn't hold up
The demo worked. In production, agents time out, hallucinate under load, or cost far more at scale because the architecture was never designed for it.
An AI bill nobody can explain
Inference, Bedrock and vector-store costs climb every month and no one can point to why. Runway burns on spend you can't yet attribute.
Spend that scales faster than revenue
Usage-based AI costs grow with traffic, not margin. Without controls, a successful launch becomes a budget problem.
Architecture decided in a hurry
The stack that got you to product-market fit wasn't designed for cost or scale. Every new feature compounds the bill.
No one owns the infrastructure
Your engineers are shipping product, not governing cost, security or reliability. The work that protects runway never gets prioritized.
An AI system that doesn't hold up
The demo worked. In production, agents time out, hallucinate under load, or cost far more at scale because the architecture was never designed for it.
Four deliverables.
What the assessment produces. Yours to keep, whether or not we build together.
- 01
Executive Summary
A short, decision-ready document explaining where the AWS environment stands, the highest risks, and the recommended sequence of action. Written for non-technical stakeholders.
- 02
Severity-Rated Findings Register
Every finding documented with evidence, severity rating (Critical / High / Medium / Low), affected resource, and remediation guidance. The artifact your engineering team will work from.
- 03
Prioritized Roadmap
A sequenced plan with estimated effort and projected savings, risk reduction, or build scope. Execute internally, engage me to deliver — including full design and implementation of AI/agent systems — or move into ongoing governance. No obligation to go further.
- 04
Findings Readout
A live walk-through of the findings with your team. Discussion, questions, push-back welcome. Included.
Illustrative layout. A real register is specific to your environment — every row carries evidence and remediation.
For agencies & software factories
Need a white-label AWS architect to win enterprise accounts and de-risk delivery? I work behind your brand — your client never sees a third party. Same fixed-scope, no-retainer model.
Get in TouchReady when you are.
Tell me about your AWS environment.