Work
Roles, scope, and the kinds of problems I take on.
A short summary of what I’ve built and where I’ve been useful. For a deeper conversation, the easiest path is just to get in touch.
-
Current
AI Solutions Engineer — Kong
Work with enterprises adopting LLMs and agents at scale, designing the layer that sits between their applications and the models. Less about which model is winning this quarter, more about the gateway, policies, identity, and observability that have to carry all of them.
- — AI gateway architecture: multi-provider routing, failover, and semantic caching
- — Governance for AI traffic — token-based limits, cost attribution, prompt guardrails
- — Existing enterprise APIs exposed to agents as governed tools over MCP
- — Observability for prompts, tokens, latency, and model behaviour in production
-
Previously
Principal Pre-Sales Architect — SaaS
Led solution architecture for enterprise SaaS engagements. Translated technical depth into business outcomes — turning complex cloud, API, and integration problems into proposals customers could actually approve and ship.
- — Architected end-to-end solutions across cloud, API, and integration layers
- — Partnered with customers from discovery through proof-of-value
- — Bridged technical and commercial conversations across stakeholders
-
Prior roles
Cloud & Infrastructure Architect
Designed and implemented cloud-native and hybrid infrastructure for enterprise customers — combining AWS / Azure platforms, Kubernetes, and modern DevOps practices with the realities of regulated, on-premise data centers.
- — Multi-cloud landing zones and migration programs
- — Production Kubernetes platforms and CI/CD foundations
- — Networking and security across hybrid estates