Hello, I'm

Colin McNamara

Rewriting the business operating system with AI

Field CTO at AHEAD. Agentic AI in the software development lifecycle, built to survive an audit.

I work where AI meets the systems a business actually runs on.

As Field CTO at AHEAD, I help technology and SaaS clients put agentic AI to work inside the software development lifecycle and run it safely in production. My thesis is simple: we are rewriting the business operating system with AI.

The hard part is not the agents. It is the oversight.

Anyone can wire up an agent. Making agentic AI defensible at scale takes governance: LLM-as-judge evaluation, continuous auditing, complete decision traceability, and production observability. That is the discipline I build first, the same discipline regulators expect in financial services, healthcare, and energy (FINRA, FDA, NRC).

Vision and delivery in one set of hands.

In most organizations the person with the vision hands off to a separate delivery team, and fidelity is lost in translation. I architect something novel and stand behind the team that ships it, so what I describe on stage is what actually runs in production.

Built in the open with 2,100+ practitioners.

I founded Austin LangChain AIMUG because the hardest problems require collective intelligence. Now 2,100+ members strong and expanding internationally, the community shares production patterns, debugs real implementations, and pushes the boundaries of practical AI.

The future belongs to AI that works when everything is on the line.

From Hyperscale Infrastructure to Production MLOps

The operational practices that became MLOps principles (complete observability, automated compliance, failure prevention) I learned managing critical infrastructure at hyperscale:

Oracle Cloud Infrastructure

Senior Network Development Manager (2018-2022)

58%

Outage Reduction

Led 12 engineers managing 116,000 devices across 64 datacenters. Reduced network outages for White House, US Marine Corps, and major banks.

→ Same observability principles now power our MLOps: trace every decision, prevent failures before they happen.

Oracle Optical Networking

Service Owner & Automation Lead (2021-2022)

$27M

Revenue Accelerated

Managed $70M budget. Built automation saving 844 engineering hours/year. Accelerated datacenter deployments by 10 weeks.

→ Automated compliance checking I pioneered here now validates AI model deployments in production.

Earth's Largest CDN Build

Network Architect @ ePlus (2007-2011)

$113M

6-Month Deploy

Network Architect for Earth's largest content delivery network, iCloud. First production MLAG architecture at scale. Led software teams and deployed $113M of gear in 6 months.

→ Scaling distributed systems at this level taught me the model governance practices I use in MLOps today.

Built $180M Business Line

Director @ Nexus IS/Dimension Data (2011-2016)

$180M

Annual Revenue

Built SDN practice from scratch to $180M/year. Developed network software for Cisco. Created IP and customer base that enabled NTT/Dimension Data acquisition.

→ Network control planes were yesterday's orchestration challenge. AI agent systems are today's, same principles, new domain.

Now applying these operational practices to production MLOps: building observable, audit-ready AI systems where failure isn't an option.

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Let's Connect

Reach out to me via email or on social media.