AI Talent & Strategy
AI talent acquisition from a firm that grew up with AI
The market is crowded with firms that discovered AI eighteen months ago. RED SKY built its practice on the disciplines that became modern AI, and applies the same 20+ year Triton Vetting Process to every AI leader and engineer it places. We place the leadership, build the teams, and shape the strategy that takes AI initiatives from pilot to production, securely.
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8
Fortune 10 clients served
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50%+
of the Fortune 100 served
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25%+
of the Fortune 500 served
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20+
year Triton Vetting Process behind every placement
What we deliver
One AI mandate, three ways in
Every AI initiative comes down to the leader who owns it, the team that ships it, and the strategy that keeps it secure at scale. RED SKY covers all three, and every candidate and consultant clears the same vetting standard that governs our cybersecurity work.
01 / Retained search
AI Leadership Search
The CAIO role barely existed three years ago. Boards now expect one, and the candidate pool is thin, loud, and hard to read. We separate operators who have shipped from personalities who have posted.
Built for
Boards and CEOs standing up or rescuing an enterprise AI mandate
Coverage
CAIO, VP of AI, Head of Machine Learning, Head of Data Science, AI product leadership
Commercials
Retained, confidential search delivered through our executive placement practice
Runs on the same engine as our executive search for security and technology leadership.
02 / Direct hire, contract, contract-to-hire
AI Talent Acquisition
Engineering and data science hires the roadmap actually depends on. We assess candidates on the work under the buzzword: model performance in production, data pipeline discipline, and the judgment to know when a model should not ship.
Built for
Teams taking models from notebook to production, and the platforms underneath them
Coverage
ML engineers, data scientists, MLOps, data engineers, AI security engineers
Commercials
Direct hire, contract, and contract-to-hire, matched to how the team needs to grow
Delivered with the speed and structures of our cybersecurity staffing for direct hire and contract roles.
03 / Advisory & SOW
AI Strategy Consulting
Adoption guidance for executives who need a defensible roadmap before they need headcount. We help scale AI initiatives securely: where AI belongs in the business, what the team should look like, and how to govern it without stalling it.
Built for
Executives accountable for AI outcomes, and the sponsors funding them
Coverage
AI readiness assessment, AI team design, governance and secure adoption
Commercials
Advisory retainer or fixed-scope SOW with named senior leads
Structured like our professional services delivered under SOW.
Not sure which door is yours? Start with the mandate. If a leader owns it, begin at 01. If the team is the gap, begin at 02. If the roadmap is the gap, begin at 03, and we will tell you plainly if the honest answer is a different pillar.
Heritage
We didn't adopt AI. We grew up with it.
Nobody has been doing generative AI forever. What separates a real AI practice from an overnight one is what came before: the five disciplines that evolved into today's models. RED SKY was recruiting and delivering in all five before the market called any of it AI.
That history is why our AI talent acquisition holds up under technical scrutiny. The people vetting your candidates understand the stack under the buzzword.
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Discipline 01
Machine Learning
Long before prompts, we were placing engineers who built systems that learn rules directly from data patterns instead of rigid code. That is the founding idea every modern model still runs on.
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Discipline 02
Deep Learning & Neural Networks
Multi-layered neural networks are the direct parent of today's large language models. Our history with the architecture means we can tell who actually understands it and who is reciting it.
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Discipline 03
Data Science & Big Data Infrastructure
No one trains great AI without great data pipelines. Cleaning, organizing, and structuring massive datasets has been core RED SKY territory for years, and it is where most AI initiatives quietly fail.
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Discipline 04
Predictive Analytics & Business Intelligence
The shift from reporting what happened to modeling what will happen is the same shift that made autonomous AI decisioning possible. We staffed both sides of it.
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Discipline 05
Natural Language Processing & Computer Vision
Teaching machines to read text and recognize images were separate fields before modern models unified them. We recruited in both silos, so we recognized what the unification meant early.
Every AI placement clears the Triton Vetting Process, the same 20+ year standard behind our cybersecurity work: technical depth verified by practitioners, leadership assessed against the mandate, and fit measured before a resume ever reaches your desk.
Put the standard to work
Building an AI capability the board will ask about?
Whether the gap is a CAIO, an engineering team, or the strategy that justifies both, the first conversation is the same: what the mandate is, what it needs, and how fast it needs it. Bring the mandate; we will bring the market.
Scope an AI searchShip models for enterprises worth naming
ML engineers, data scientists, and AI leaders: our clients include 8 of the Fortune 10, and the roles run from confidential executive searches to production engineering teams. Discretion is the default; your current employer never hears from us.
Explore AI roles with RED SKY