AI Architect as a Service
Commerce Architects · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
**HOW IT WORKS**
1 – Rapid Discovery & Alignment
Show the rest of the publisher’s description (27 more lines)
We start with a focused assessment to understand your AI goals, current architecture, and areas of uncertainty—whether that’s model selection, vendor evaluation, or integrating AI into existing systems.
2 – Embedded Architectural Guidance
- Your GenAI Architect joins your team during the decisions that matter most:
- Architecture reviews and design sessions
- Validation of proposed AI solutions
- Build vs. buy assessments
- Evaluation of vendors, tools, models, and platforms
- POC scoping, feasibility, and risk assessment
- Integration strategy for legacy and modern workloads
You get practical guidance informed by real production systems, not theoretical AI hype.
3 – Knowledge Transfer & Technical Enablement
Through collaborative work sessions, your engineering team learns best practices around:
- Agentic architectures & workflow design
- Prompt engineering, prompt caching, critique loops
- LLM evaluation (LLM-as-judge)
- Safety, threat modeling, and guardrails
- Observability, logging, and monitoring for LLM apps
- Effective boundary design between agents and services
- Our goal: make your team self-sufficient, not dependent.
4 - Pricing
Tiers:
Starter Advisory - 40 hours over 3 months
Best for: Exploring AI ideas, evaluating specific initiatives
Standard Advisory - 80 hours over 3 months
Best for: Active POC planning, ongoing design support
Extended Advisory - 160 hours over 3-6 months
Best for: Multiple initiatives, comprehensive architecture guidance
Highlights
Highlighted by the publisher on AWS Marketplace.
Senior AI Architects on Demand: Get immediate access to production-proven AI/ML architects who guide your strategy, validate decisions, and prevent costly missteps.
Unbiased Technical Evaluation: Ensure your GenAI roadmap is grounded in engineering reality, not vendor hype, with architecture reviews, feasibility analysis, and POC planning.
Embedded Collaboration: We join your planning meetings, design reviews, and decision cycles, transferring knowledge to your team and helping you launch AI initiatives faster.
Agent build and provenance
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Sources
Linked repositories
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