Agentic AI System Design & Deployment
End-to-end architecture for autonomous and semi-autonomous agents. From single-agent reasoning loops to multi-agent orchestration patterns, with the operational discipline that production demands.
Raleigh, NC · Agentic AI Solutions Architect
Agentic AI Solutions Architect designing and deploying intelligent agents at enterprise scale. Context engineering, agent orchestration, and production reliability — backed by a decade of enterprise security architecture at Palo Alto Networks, Microsoft, and Cisco.
Now
I am an Agentic AI Solutions Architect focused on building and deploying intelligent, production-ready AI agents.
I combine deep expertise in context engineering, agent orchestration, and large language model systems with a strong foundation in enterprise security. This unique combination allows me to design agentic systems that are not only powerful, but also reliable and production-ready.
Currently, I work at the intersection of AI engineering and enterprise deployments — helping organizations move from experimental AI to production agentic systems that actually work at scale.
If you are building or scaling agentic AI capabilities and need someone who understands both the technical depth of AI systems and how to make them production-ready, I would value the conversation.
Capabilities
End-to-end architecture for autonomous and semi-autonomous agents. From single-agent reasoning loops to multi-agent orchestration patterns, with the operational discipline that production demands.
System prompts, retrieval, tool definitions, conversation state, and structured memory — the discipline that turns an LLM that demos into an agent that ships. Designed for reliability, not novelty.
Multi-step, multi-tool, multi-agent workflows that hold together under real load. Tool selection, planning loops, evaluation gates, MCP integrations, and the boring instrumentation that keeps it observable.
Where a decade of enterprise security pays off: trust boundaries, prompt-injection resistance, supply-chain integrity, and the failure-mode discipline that separates a demo from a system you can put in front of a customer.
Translating agentic AI capability into customer outcomes. Architecture reviews, evaluation methodology, executive briefings, and the translation work between research-grade capability and field-grade deployment.
Helping large organizations move from pilot to portfolio. Reference architectures, governance models, evaluation harnesses, and the change-management work that makes agentic AI a capability the business can compound on, not a one-off demo.
Career
Palo Alto Networks Current
Pre-sales technical lead for Cortex (XDR, XSIAM, XSOAR), with growing focus on the AI-native side of security operations: agent-augmented SOC, automated detection authoring, and the operational shape of LLM-driven response. The same posture I bring to agentic AI architecture more broadly.
Microsoft
Pre-sales for Microsoft Security across enterprise accounts. Architecture, customer enablement, and contributing field perspective into product strategy. Worked across the Defender and Sentinel surface area.
Cisco
Technical advocate for Cisco Duo as the identity layer of the Zero Trust portfolio. Customer-facing demos, deal support, and product feedback into the Duo team.
Cisco
SLED West security pre-sales. Cloud security, network segmentation, and consistent over-quota delivery across two fiscal years.
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