Applied AI · Current work
From tools to an operating model.
Built systems for research, drafting, tracking and capture, with clear review and approval boundaries.
Explore the workInfrastructure. Intelligence. Execution.
I connect infrastructure, AI and operating models so teams can decide what to build, how to deliver it, and how it creates value.
Simplify the platform. Align the people. Build what follows.
Applied AI · Current work
Built systems for research, drafting, tracking and capture, with clear review and approval boundaries.
Explore the workEnterprise connectivity · Lumen
Connected enterprise network strategy with the platforms and commercial models behind AI workloads.
Explore the workFiber platform strategy · Calix
Aligned platform architecture with customer priorities, executive decisions and the work of deployment.
Explore the workStrategic leadership where infrastructure, platforms and AI meet. Customer-facing work, meaningful decisions, and mentorship that helps the next leader grow.
How I work ↗The problem, my contribution, and the source context.
Different technologies, a consistent approach: simplify the architecture and operating model so the team can move. Open an example for the detail.
The problem. Research, written artifacts and follow-through lived in separate tools and depended on manual handoffs.
My contribution. Built an AI operating environment for research, drafting, tracking and capture. The work includes choosing models for the task and designing explicit review boundaries around external actions.
The outcome. A working environment that brings the task, its record and the next action together. The useful proof is a demonstration of the workflow.
The problem. Legacy point-to-point connectivity needed to evolve with the cloud environments and AI workloads it served.
My contribution. Led architects and strategists in the large enterprise segment. Helped position Network-as-a-Service, connectivity delivered as a flexible platform, and led the team that stood up the Validated Designs program and Experience Center.
The outcome. A practical way for enterprise customers to connect architecture, partner platforms and deployment choices.
The problem. A new fiber provider needed an end-to-end platform that matched its deployment and subscriber-service requirements.
My contribution. Led architecture and executive pursuit strategy, connecting the technical design with customer priorities and a simpler delivery model.
The outcome. A single-platform approach to fiber access, managed services and the subscriber experience, with fewer separate integrations to coordinate.
The problem. Regional delivery practices needed to work as one global operation while satellite technologies and customer requirements changed.
My contribution. Unified engineering and delivery across regions. Simplified the operating rhythm before introducing automation, including quote-to-cash workflows on ServiceNow and Dynamics 365.
The outcome. A common delivery model spanning satellite and terrestrial connectivity, with the transport chosen for the customer’s requirement.
The problem. Legacy voice systems needed an architecture that could support new services and broader reach.
My contribution. Led architecture and engineering through the transition to distributed IP telephony, consolidating long distance, hosted voice and international services onto a shared platform.
The outcome. A reusable foundation for service delivery and commercial growth, built from an operator’s view of the physical network.
Strategy grounded in architecture and delivery.
01 / Platform strategy
Turn a technology choice into a direction the customer, technical team and executive sponsor can evaluate together.
Applied across carrier networks, fiber platforms and enterprise connectivity.
02 / Applied AI
Choose models and workflows for the work they need to do. Bring research, drafting and tracking into an operating environment with clear human decisions.
Hands-on builds alongside technical strategy at Kerzie.ai.
03 / Operating models
Make decisions, delivery practices and handoffs clear before adding automation. Help teams turn an isolated success into a repeatable way of working.
Global engineering, service delivery and quote-to-cash workflows.
04 / Leadership
Listen first, frame the desired outcome and work backward to the plan. Connect technical teams with customers and executives, while mentoring the people who will lead next.
Service provider, technology partner and customer perspectives.
My best work combines strategic influence with the opportunity to build. I look for a clear problem, a meaningful place at the decision table, and a team willing to rethink the operating model.
Career context and references, at your pace.
Technical Strategist. Architecture, model selection and hands-on AI builds, including a business operating framework.
Senior Director, Large Enterprise, Public & Neo-Cloud Segment. Enterprise connectivity and platform strategy.
Vice President, Global Systems Engineering & Managed Services. Global engineering and service delivery.
Regional Vice President, Solutions Engineering, Major Accounts. Fiber platform strategy and customer engagement.
Technology and engineering leadership, progressing through architecture, application strategy and transformation roles.
Network trials, systems engineering and hands-on operations. Led architecture teams working on converged voice, video and data platforms.
Co-inventor, Intent-Based Services Orchestration. U.S. Patent US 9,882,833 B2, granted in 2018.
The patent describes allocating and adapting network resources around desired service performance. It is a public record of shared inventorship, distinct from a claim about today’s AI products.
Read the patent record ↗Personal contributions on this site are summarized from my career account. Public records support the specific facts they contain; company announcements provide context. Neither is a blanket verification of every outcome.
For a deeper reference conversation or a working-system demonstration, get in touch.
The honest origin story: my strength has always been the live, verbal, relational work. The narrative in the room. My weakness was converting that into crisp written artifacts, and for most of my career I handed that off to someone on the team. So I built a machine to do it instead, and in the process learned more about applied AI than any certification would have taught me. That is the same move I now advise clients to make: stop bolting AI onto the process, and move the operating model itself.
Founded AI Unified Consulting LLC in 2026, developing an advisory framework for moving AI into business operations. The practice is paused.
Start with the problem.
Aurora, Colorado · aaronpjones007@gmail.com