AI Talent Hero Background

Take on enterprise-level AI ambitions

Remote missions for senior AI engineers, architects, and product managers at Fortune 500s and high-growth startups, where you're the technical decision-maker with real ownership, not implementing someone else's deck. You set your rate. We handle everything else.

Apply to Join
Inflection
Circle
HCA Healthcare
Northern Trust
Lululemon
D-ID
Allstate
Grindr
Santander
IDC
Morgan & Morgan
Blackstone
Inflection
Circle
HCA Healthcare
Northern Trust
Lululemon
D-ID
Allstate
Grindr
Santander
IDC
Morgan & Morgan
Blackstone

< 2%

acceptance rate

11,000+

vetted builders

18 mo

avg. engagement

100+

Fortune 500 clients

The opportunity

Lead the design of production AI systems that industry leaders depend on, from model architecture to deployment.

database

Work on AI at massive scale

Build systems that process billions of transactions, serve 100M+ users, or analyze petabytes of proprietary data. The kind of scale that defines careers.

corporate_fare

Shape how Fortune 500s adopt AI

Lead the architecture of core AI systems for Fortune 500s and fast-growing companies. Make the technical calls on projects with real budgets and real impact.

rocket_launch

Portfolio-defining AI projects

Fine-tune LLMs on proprietary data, implement RAG at million-document scale, deploy multi-agent systems across global operations.

AI engineer, architect, and product manager roles

These three are in heaviest demand right now, each evaluated on what you've actually shipped. We also match senior AI and ML builders across adjacent roles like R&D engineering, MLOps, and data architecture, so apply even if your exact title isn't listed here.

code

AI Engineer

Ship production AI: classical ML and GenAI/LLM systems, the MLOps and serving infrastructure around them, and the responsible-AI guardrails they need. Proven in code.

architecture

AI Architect

Own the system end to end, across classical ML, deep learning, NLP, computer vision, and GenAI: data pipelines, model trade-offs, serving, monitoring, and the safety the business depends on.

lightbulb

AI Product Manager

Turn AI capability into shipped product. Scope MVPs with technical realism, design for risk, UX, safety, and trust, and keep stakeholders aligned when models misbehave.

Diagram showing how the A.Team platform matches AI talent to projects

How A.Team works

Work with peers at your level

Collaborate with other 10+ year veterans from companies like Google, Meta, and OpenAI. We match your expertise with leaders across complementary domains to build all-star teams per mission.

Your expertise, precisely matched

We match you with projects that need your specific strengths, whether that's scaling ML infrastructure, fine-tuning foundation models, or architecting real-time inference.

Guaranteed on-time pay

On-time payments from your first mission hour, twice monthly on a Net-15 cycle. You build; we handle contracts, invoicing, and payouts.

Who thrives here

  • Senior AI/ML engineers who've deployed models that serve real users in production
  • AI architects who've designed systems that handle enterprise scale
  • Technical leaders who own both the technical decisions and the business outcomes
  • Specialists in LLMs, computer vision, NLP, or ML infrastructure who've gone deep
  • Product managers who understand what's actually possible with AI and what it takes to ship
Apply to Join
Noam S.

Noam S.

ML Engineer

10 Yrs Exp.

Miranda W.

Miranda W.

Product Manager

10 Yrs Exp.

Tomislav C.

Tomislav C.

AI Architect

20 Yrs Exp.

Lyndsey S.

Lyndsey S.

Specialist

15 Yrs Exp.

Theodore V.

Theodore V.

Tech Leader

What builders say

There are very few places that can put my strengths to use 365 days a year. Being a Fractional CTO lets me do it, and A.Team provides the framework to make it work. There's a lot of talk about AI, but few who are really using it and even fewer pushing boundaries.
Vineet SinhaFractional CTO

Your path to building with A.Team

A streamlined, selective process built for senior practitioners. No hoops, no wasted time.

1

Show us what you've built

Share your LinkedIn or resume. We look for AI systems you've shipped to production, the tools you've used, and the scale you've operated at.

2

Schedule your AI evaluation

A 30- to 45-minute session on your AI background and two to three projects where you made a real contribution: what you built, your approach, and your success metrics.

3

Apply to high-impact missions

Curated AI work: fine-tuning LLMs for healthcare, building retrieval systems over millions of documents, architecting agent-based workflows.

4

Build with top-tier peers

Small squads of senior AI engineers, architects, and product leaders. Focus on building, with twice-monthly payments and zero admin.

Got questions? We have answers

A.Team hires AI engineers, AI architects, and AI product managers, plus adjacent roles like R&D engineering, MLOps, and data architecture. Those first three are the tracks in heaviest demand right now, but we match senior AI and ML builders across specializations.

Production AI, not proof-of-concept: fine-tuning LLMs on proprietary data, retrieval-augmented generation at million-document scale, multi-agent systems, computer vision and NLP, and the ML infrastructure to serve them.

Both count. We hire across classical machine learning, deep learning, NLP, computer vision, and generative AI. What matters is production experience and measurable impact, whatever the technique.

After a first review of your background, you'll do a 30- to 45-minute technical evaluation: a deep dive on two to three AI projects you've shipped, plus a coding challenge or case study depending on your role. We probe real-world trade-offs, scale, and how you handle model risk and reliability.

We accept fewer than two percent of applicants. The network is built for senior builders ready to own enterprise-scale AI work.

You set your rate, and we don't skim it. Guaranteed on-time payments from your first mission hour, twice a month on a Net-15 cycle. We handle contracts, compliance, and payouts.

Yes on both. We support C2C and 1099, and you set your own rate. Each mission shows the client's range, and staying near it improves your odds.

Most run 12 to 18 months, part-time to full-time. Some are shorter. We share scope before you commit.

Yes, almost always. A few missions carry location requirements for data, compliance, or tax reasons.

Not generally. Builders join as individuals, so contributions are recognized and rates are paid directly. Agency members are welcome to join individually and set up their own profiles.

After you join, a short review unlocks full platform access. Then you can apply to handpicked missions right away.

Where top AI builders go to push boundaries

Join an exclusive network of senior practitioners trusted by high-growth companies for their most complex AI initiatives.