AI architecture and automation
Context-first, model-agnostic systems that keep source authority, evaluation, decision boundaries, and human accountability explicit.
AI architecture · Regulated systems · Global platforms
Systems leadership where complexity has consequences.
Tony Malott leads AI architecture, automation, and global systems engineering across regulated operational environments where resilience, evidence, security, and accountable delivery are not optional.
- Global platform ownership
- A five-figure regulated endpoint estate across more than 100 sites, supported by a global delivery organization and a low eight-figure annual service and platform execution envelope.
- High-consequence operations
- Manufacturing, laboratories, logistics, distribution, research, and operational technology where continuity and evidence matter.
- Governed AI
- Source authority, evaluation, bounded automation, validation, and human accountability built into the operating model.
Operating scope
Engineering, governance, and leadership joined into one operating system.
The work crosses architecture, platforms, security, quality, service delivery, and organizational boundaries. The value is not any single technology. It is the ability to make complex systems supportable, inspectable, recoverable, and useful under real operating constraints.
Endpoint and systems engineering
Platform engineering across Windows and Linux estates, lifecycle controls, observability, backup, recovery, hardening, and controlled automation.
Regulated infrastructure
Enterprise technology translated into manufacturing, laboratory, logistics, and operational environments where uptime, evidence, cybersecurity, and controlled change must coexist.
Operational leadership
Architecture, service ownership, suppliers, financial stewardship, quality expectations, and site reality joined into supportable operating models.
Selected evidence
The work has to survive contact with reality.
Public evidence is deliberately bounded. The examples below show the shape of the responsibility and the operating discipline without exposing employer-sensitive systems, private records, or controlled source material.
Controlled automation
Converted repeatable workstation build, verification, and evidence-generation work into governed automation, reducing manual variation while preserving review, traceability, and accountable release.
Generalized public-safe evidence
Acquisition, divestiture, and controlled transition
Led repeated acquisition, divestiture, separation, and onboarding work across regulated endpoints and operational platforms, creating specialized migration processes, automation, tools, and playbooks to move systems between companies without losing control of security, management, recovery, validation state, traceability, or business continuity.
Generalized public-safe evidence
Global service industrialization
Turned site-by-site variation into governed baselines, lifecycle controls, recovery patterns, supplier expectations, and supportable services that could operate across a global estate.
Generalized public-safe evidence
Career arc
The scope widened. The operating discipline did not.
The career did not move from technical work into management by leaving engineering behind. It expanded from hands-on infrastructure and plant systems into site leadership, service delivery, major incidents, programs, people, global platform ownership, and governed AI architecture.
- Foundation
Communications and electronics foundation
U.S. Air Force communications and electronics established the foundation: calibration, signal quality, fault isolation, acceptable operating ranges, operational reliability, and disciplined troubleshooting.
- 2001–2006
Hands-on infrastructure and plant systems
Built and supported the underlying systems: servers, networks, storage, backup and recovery, operational technology equipment, plant cabling, endpoint platforms, and new server-room infrastructure. The work was physical, technical, and close to the consequences when systems failed.
- 2006–2018
Site leadership and service delivery
Expanded into site technology leadership, end-user service delivery, business relationship management, major-incident response, acquisition and divestiture transitions, project and program delivery, product responsibilities, executive stakeholder alignment, and people management.
This period required standing in front of frustrated users and business leaders when services failed, including situations where the root cause or delivery authority sat outside direct ownership. The job was still to restore confidence, coordinate the right teams, communicate clearly, and drive the issue toward resolution.
- 2018–present
Global engineering and regulated platform ownership
Moved from site-level delivery into global engineering and service ownership for regulated Windows and Linux workstation platforms across manufacturing, laboratories, logistics, distribution, research, and operational technology.
The role joins architecture, lifecycle governance, cybersecurity, observability, backup and recovery, supplier execution, service models, financial stewardship, GxP and GAMP expectations, audit readiness, people leadership, and operational continuity across a global estate.
- Current expansion
Governed AI architecture and automation
Extends the same systems and operating discipline into probabilistic technology: context-as-code, source authority, model-agnostic workflows, evaluation, bounded agents, validation, receipts, automation, product thinking, and human accountability.
The AI layer is not a departure from the career arc. It is the latest expression of the same pattern: understand the system, expose failure modes, define authority and operating boundaries, govern the handoff, and make the result supportable.
Operating model
Engineer. Operate. Govern. Lead.
Engineer
Understand the platform deeply enough to distinguish architecture from decoration, controlled automation from improvisation, and resilience from wishful thinking.
Systems, endpoints, operating systems, networks, infrastructure, recovery, observability, integration, and automation.
Operate
Own the experience of the service, especially when systems fail, responsibilities cross organizational boundaries, and customers need progress rather than an explanation of the support model.
Service delivery, major incidents, business relationships, operational continuity, stakeholder communication, and accountable resolution.
Govern
Make authority, evidence, lifecycle controls, security posture, regulatory boundaries, validation, and change accountability explicit before scale turns ambiguity into operational debt.
GxP, GAMP, cybersecurity, quality boundaries, source authority, validation, controlled change, audit readiness, and regulated transition.
Lead
Join people, suppliers, programs, products, budgets, executive decisions, and site reality into an operating model that can survive scale, handoff, and change.
Global delivery leadership and low eight-figure annual accountability across labor, suppliers, hardware, services, and platform execution.
Selected work
The résumé shows the scope. The work shows the thinking.
SharePlane is the public library for essays, architecture, analyses, tools, and reusable patterns. These selections show how the operating principles translate into finished work.
Your Second Brain Is Not a Production Architecture
Separates personal knowledge workflows from the governed context, retrieval, memory, security, evaluation, and operating layers required when an agent serves other people.
Open on SharePlane ↗Demo Debt
Defines the liability created when an impressive AI demonstration is mistaken for supportable operational capability, without ownership, evaluation, governance, workflow redesign, or a path to production.
Open on SharePlane ↗The World Got Bigger, and So Did the Self
Explores how sustained cultural contact, military service, migration, marriage, and shared life can widen an inherited worldview in ways that travel alone cannot.
Open on SharePlane ↗Continue
Review the career record or start a serious conversation.
The résumé provides the chronological proof layer. SharePlane holds the finished public work. For professional fit, architecture review, peer discussion, or collaboration, use the direct contact path.