Build your AI execution team.

Hire onshore AI talent that sits with your team and moves AI from pilot to production.

Building technology teams since 2005.

TRUSETD BY TALENT TEAMS AT

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A selection of the 40+ FORTUNE, SMB & startup clients WinMax has served since 2005.

TECHNOLOGY PARTNERS

Oracle

Partner

Microsoft

Partner

Databricks

Partner

Why AI Hiring Changed

The AI hiring problem has changed.

A résumé full of AI keywords tells you somebody read the same blog posts you did. It doesn’t tell you they’ve shipped anything.

They need the right AI execution team.

The right person understands

The model
The data
The workflow
The users
The systems
The cost
The business outcome

What Gets In The Way

Where AI initiatives break down

The pilot never becomes production

Somebody built something that worked in a notebook. Wiring it into the systems people actually use is a different job, and nobody was hired to do it.

The wrong role gets hired

You hired an AI engineer. The blocker was the data pipeline, or the person who sits with the business, or whoever owns the rollout.

The work is too far from the business

The engineer has never watched anyone do the job the model is supposed to help with.

Usage costs are hard to control

Nobody set a limit. The bill arrives at the end of the month and everyone reads it at once.

The business cannot prove value

There is plenty of activity. Nobody can point at a number that moved.

We fix the talent half.

The Path To Production

From AI ambition to business outcome

AI Ambition

  • Bold AI initiative
  • Pressure to show results

Talent Gap

  • Wrong role
  • No production owner
  • Weak workflow fit
  • Cost risk
  • No ROI clarity

Local AI Execution Team

  • FDE
  • AI Engineer
  • Data Engineer
  • Cloud Engineer
  • Solution Architec
  • Product Lead

Production Outcome

  • Working workflow
  • Controlled usage
  • Clear ownership
  • Measured value

Why WinMax Is Different

Most AI recruiting starts with keywords. WinMax starts with the work.

WinMax has spent over two decades helping companies build technology teams. AI changes the titles. The judgment about who can actually do the work is the same judgment it always was.

We staff the part where it either ships or it doesn’t.

We start with the work

What are you trying to build?
Where is the initiative stuck?
Who needs to own production?
Which roles need to be close to the business?
Where could usage, cloud, or token costs get out of control?
Which hire should come first?

Why Local Execution Talent Matters

Some AI work can be remote. Execution can’t.

We place onshore engineers who sit with your business team, in your time zone, in the room where the workflow decisions get made.

The model was never the hard part. Getting it into somebody’s Tuesday is. That changes who does what, and in what order.

We fill the role that unblocks the thing.

Forward Deployed Engineers

Forward Deployed Engineers for AI initiatives

For AI initiatives this role is becoming critical. Building it takes a quarter. Getting the business to actually use it takes longer, and that’s the part nobody staffed for.

We find the people who can write the code and also sit in the room where the workflow gets decided.

What an FDE does

Part engineer, part product thinker
Works close to the customer or business team
Understands the workflow
Writes and debugs code
Connects systems
Helps move AI into production

AI Cost Control

AI talent is now a cost-control decision.

AI tools are easy to start and expensive to scale badly. The person who picks the model is making a budget decision, and most of them do not know that.

We hire for the judgment, because the invoice is the part nobody rehearses.

01Which model should be used for which task?
02Where should usage limits be set?
03Which role should own production?

A team that picks the wrong model for a high-volume task can burn a quarter’s budget before anyone reads the invoice.

ROLES WE HELP HIRE

Build the right AI execution team.

Find the one you need first.

AI EXECUTION ROLES
Forward Deployed Engineers
AI Implementation Engineers
AI Solution Architects
AI Technical Program Managers
Customer-Facing AI Engineers
AI Product Engineers
AI ENGINEERNING ROLES
AI EngineersLLM Engineers
Machine Learning Engineers
Data Engineers
Cloud AI Engineers
MLOps Engineers
LLMOps Engineers
AI LEADERSHIP ROLES
Head of AI
Director of AI Engineering
AI Product Manager
AI Transformation Lead
Fractional AI Technical Leader

Not sure which role comes first?

Get an AI Talent Gap Assessment

ORACLE ENVIROINMENT

Oracle AI teams

Oracle shops need engineers who know the stack before they know the model. We place them.

AI ORACLE FUSION
Financials Consultants
AR/AP/GL Specialists
Fusion Technical Leads
OCI & PLATFORM
Cloud Engineers
Integration Engineers (OIC/APIs)
Observability Engineers
DATA & DELIVERY
Data Engineers
Reporting Analysts
Forward Deployed Engineers

Running an Oracle finance stack? We also reconcile it.

Oracle Services


FLEXIBLE HIRING MODELS

Flexible models for every AI stage

Not every AI initiative needs the same hiring model. Some need one senior person to decide what gets built first. Some need contract engineers next month. We will tell you which one this is.

Contract staffing

Somebody starts in two weeks.

Full-time hiring

The knowledge stays when the project ends.

Executive search

A senior owner for the whole initiative.

Senior technical consulting

One person to tell you what to build first.

Fractional AI leadership

Two days a week, when you do not need five.

Managed delivery teams

Our lead, our team, your outcome.

TALENT GAP ASSESSMENT

Get an AI Talent Gap Assessment

Not sure who you need? Start here. Tell us where the initiative is stuck and we will come back with the roles it actually needs, in the order you should hire them.

Not sure who you need for your AI initiative?

WHAT CLIENTS & CONSULTANTS SAY

The ones who came back.

They truly take the time to understand our needs, culture, and expectations. They work with us, not just for us — so we feel like a partner instead of just a customer.


Director of Business Analytics

Leading Consumer Technology Company

WinMax knew that I needed an entire team in less than a month, and was able to provide several amazing resources in only a couple of weeks.


Vice President

Large Solar Company

My experience across multiple client engagements has been consistently outstanding over the past decade I have worked with WinMax.


Balchander Rajaram

Program Manager, Cisco

Ready to build your AI execution team?

An hour with an advisor who has staffed this before. You’ll leave knowing which hire unblocks the initiative.