Fractional Engineering Leadership
A seasoned VP/Director of Engineering — on demand, embedded in your business.
For companies navigating cloud transformation, AI adoption, or engineering org build-outs, I step in as your fractional or interim engineering executive. 25–35 hours per week. 3–9 month engagements. Principal-level depth across AWS and AI/GenAI governance.
Trusted by Industry Leaders and Innovators
Do you have the engineering leadership your next chapter requires?
I partner with CEOs, CFOs, boards, and PE operating partners who are asking:
- •Our CTO/VP just left — who steers the ship while we run a permanent search?
- •We're adopting AI, but who owns governance, cost, and risk before we scale it?
- •Our engineering org is stuck — we need someone senior to restructure it, not just advise.
- •A major cloud transformation is mid-flight — who keeps it from stalling?
- •The board wants credible technology leadership in the room next quarter.
How a Fractional Engagement Works
A predictable, low-friction path from first conversation to embedded executive leadership — and a clean hand-off when the work is done.
Fit Call
30 min
We confirm alignment on outcomes, scope, and timing. No pitch — a real conversation about what you're facing.
Scoping Week
Week 1
I produce a written 30/60/90-day plan with clear deliverables, success metrics, and engagement structure.
Embedded Delivery
3–9 months
25–35 hrs/week operating as part of your leadership team — board-ready, staff-credible, vendor-aware.
Transition
Closeout
I leave behind a stronger org, documented architecture, and — if desired — a successor plan for your permanent hire.
You Hire Me. You Get Me.
Most fractional and interim engagements are sold by senior partners and delivered by junior associates. You get neither of those here. Every engagement is delivered directly by me — Ken Ramirez, with 35+ years architecting and leading engineering organizations through Siemens, Carrier, Atlas Air, Fairbanks Morse Defense, and more. Because I work with a small number of clients at any time, you get the strategic focus and executive attention your business actually deserves.
Signature Specialty
AI/GenAI Adoption, Governed and De-risked.
Every boardroom is asking the same question: how do we capture the AI upside without becoming a cautionary tale? I help leadership teams operationalize AI and GenAI inside the enterprise — with clear governance, measurable cost controls, a defensible risk posture, and a deployment plan your legal, security, and compliance teams can actually sign.
No “cutting-edge” theater. Just the operating discipline that turns AI from a line item into a durable capability — across model selection, vendor strategy, data boundaries, FinOps, and the human workflows around it.
Leadership Outcomes at Enterprise Scale
Measurable results from embedded engineering leadership across multiple Fortune 500 and private-equity-backed environments.
Engineering organization built from scratch at Siemens — hiring, structure, and delivery cadence.
Uptime on a mission-critical SaaS platform serving global enterprise workloads.
Reduction in infrastructure costs for an enterprise SaaS provider through FinOps and architecture discipline.
Faster deployment cycles through pipeline redesign and release-engineering best practices.
Servers migrated to AWS at Atlas Air under multi-vendor coordination and tight executive oversight.
Mean time to detect and mean time to respond for security incidents across production environments.
Insights for the Executive Buyer
Perspectives on when a fractional executive makes sense, how to govern AI adoption responsibly, and what a de-risked cloud transformation actually looks like.
When to Hire a Fractional VP of Engineering vs. a Permanent Executive
AI/GenAI Governance: Cost, Risk, and Readiness Before You Scale
Rescuing a Stalled Cloud Transformation: A Field Playbook
Need an engineering executive now, not in six months?
Let's talk. 30 minutes. No pitch — a real conversation about what you're facing and whether a fractional engagement is the right move.