About
Engineer by foundation. Leader by responsibility. Builder by instinct.
I'm Zac Acker, Senior Manager of AI Engineering at Kainos. I have spent more than a decade moving from hands-on infrastructure and integration work into architecture, technical leadership, and now applied AI. I still write code. That part is not negotiable.
Zac Acker, working. Desk, screens, no studio lighting.
4:5The path
2013 to 2018
The foundation
I started in IT support and infrastructure while studying Informatics at Indiana University, and stayed long enough to run the systems I had been fixing. Web development ran alongside it. Neither was glamorous, and both taught the same lesson: the people using a system are the only reliable measure of whether it works.
2018 to 2026
The integration years
Then Workday, across Appirio, Alight Solutions, and Kainos. Integrations for HCM and Financials, implementations and long-running managed services, mergers that compressed timelines and multiplied source systems. At Kainos I was the first AMS integration consultant in the Americas, then led the team, then ran staffing, forecasting, and escalation for it, then took on product ownership and technical leadership across the global Workday services practice.
2026 onward
AI engineering
Since July 2026 I lead AI engineering at Kainos: development accelerators that turn specifications into working code, and the MCP servers and agent skills they run on. The goal is to take the repetitive eighty percent off an engineer's plate so the interesting twenty percent gets their full attention.
The full record, role by role, is on the résumé.
Technical leadership is four kinds of understanding.
- The technology
- Enough depth to tell a real constraint from a preference, and to know when an estimate is fiction.
- The business
- Why the work is funded, who it serves, and what it costs when it is late or wrong.
- The people
- What each engineer is good at, what they want to get better at, and what is getting in their way.
- The operating environment
- Contracts, compliance, support models, and the downstream systems nobody mentioned in the kickoff.
How I work
- Clarity first
- If the team cannot explain the system, the team does not own it yet.
- Ownership is explicit
- Every system, decision, and escalation path has a name next to it.
- Reliability is a feature
- Nobody notices an integration until it fails. Design for the failure.
- Tradeoffs are written down
- A decision without its alternatives is an opinion with a deadline.
- Developer time is the budget
- Automate the repetitive work so judgment goes where it matters.
- Stay close to the craft
- Leaders who stop building lose the ability to tell good work from plausible work.
Outside the day job
- Family
- Husband and dad. Everything else on this page exists because of what I'm building at home.
- Independent development
- collect. for iPhone and iPad, Stagger for one weekend a year, and zckr.dev for everything in between.
- Music
- A minor in Music Theory and Production from the Jacobs School of Music, and a long habit of listening closely.
- Experimentation
- A homelab of Proxmox nodes, RAID arrays, and enterprise networking. Where I break things on purpose.
Daily drivers · 26
- Apple MacBook
- Apple iPhone
- Ubiquiti Networking
- Proxmox Server
- Microsoft Office
- Microsoft Azure
- Microsoft Foundry
- Workday
- ServiceNow
- Atlassian
- Linear
- Vercel
- VS Code
- Xcode
- GitHub
- GitHub Copilot
- Claude Cowork
- Claude.ai
- Claude Code
- Codex
- ChatGPT
- Wispr Flow
- Notion
- Figma
- Raindrop.io
- Bitwarden
Build something worth operating.
I'm interested in the intersection of AI, engineering leadership, enterprise architecture, and ambitious technical ideas.