Build your AI execution team.

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

Get an AI Talent Gap Assessment

Talk to an AI Talent Advisor

Building technology teams since 2005.

TRUSETD BY TALENT TEAMS AT

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

Build your AI execution team.

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

TRUSETD BY TALENT TEAMS AT

TECHNOLOGY PARTNERS

Oracle

Microsoft

Databricks

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

What Gets In The Way

Where AI initiatives break down

The pilot never becomes production

The wrong role gets hired

The work is too far from the business

Usage costs are hard to control

The business cannot prove value

We fix the talent half.

The Path To Production

From AI ambition to business outcome

AI Ambition

Talent Gap

Local AI Execution Team

Production Outcome

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

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

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.

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.

Not sure which role comes first?

What's Next

Contact Us