Enterprise AI Architecture & Solutions
Strategic platform design, agentic orchestration, and LLMOps governance for business transformation
Architecture Services
Enterprise AI initiatives need more than model access. I help teams shape the architecture, integration boundaries, governance model, and delivery path that make agentic systems reliable in production.
AI Strategy & Architecture Roadmaps
Translate business goals into platform choices, capability maps, delivery phases, and operating metrics.
Agentic Workflow & RAG Design
Design multi-agent orchestration, retrieval, tool use, approval flows, and integration patterns for real business processes.
LLMOps & Platform Engineering
Build evaluation, monitoring, prompt/version control, cost controls, and cloud infrastructure for production AI systems.
Multi-Cloud Platform Expertise
I bring deep expertise across Azure, AWS, and GCP AI/ML services, enabling seamless integration and deployment of enterprise AI solutions within your existing infrastructure.
Google Cloud Platform (GCP)
Vertex AI, Google Gemini, BigQuery integration
Microsoft Azure
Azure AI Foundry, Azure OpenAI Service, AKS, Azure DevOps
Amazon Web Services (AWS)
AWS Bedrock, SageMaker, Lambda for AI workloads
Approach Comparison
This comparison table helps you understand the key differences between the three development approaches and identify which one might be best suited for your specific needs.
| Feature | Strategy & Roadmap | Agentic/RAG Design | LLMOps Platform |
|---|---|---|---|
| Development Time | Days to weeks | Weeks to months | Months+ |
| Cost | Low to medium | Medium | Medium to high |
| Customization | Decision framework | Workflow-specific | Platform-level |
Ready to discuss your AI agent project?
Contact me to explore which approach is best for your specific needs.
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