Forward deployed engineers, on demand
A.Team Deployed gives AI software companies senior, client-ready engineers who embed with your customer, carry your badge, and handle the last mile, in days rather than a hiring cycle.
3,000+
AI engineers
30+
countries
<2%
acceptance rate
3–5 days
to named engineers
You closed the deal. Now you have to deliver it.
A.Team Deployed closes the gap without the headcount. Senior engineers deploy in days, embed under your banner, and own the work that turns a signed contract into a live deployment.
Enterprise contracts close faster than deployment teams can staff them, leaving signed deals waiting on people you don't have.
The product works in the demo. Legacy data, compliance review, internal workflows, and change management are the customer-side work no vendor can absorb permanently.
The forward deployed engineer role grew roughly 40x in 24 months, and demand for senior FDEs far outstrips supply.
Most mid-market AI companies can't justify a permanent FDE org, but they hit the same delivery gap on every enterprise deal.
What A.Team Deployed gives you
Your badge, your stack
Engineers embed under your product banner, not A.Team's, and work across whatever AI stack you've built on. White-label and vendor-neutral, both by design. Engineers embed under your product banner and represent your delivery commitment, not A.Team's brand. White-label by design.
Caliber
A network of 3,000+ AI engineers across 30+ countries, under 2% acceptance, already doing the AI integration work FDE delivery requires and developed the rest of the way. Every builder is senior, client-facing by default, and staffed local to wherever your customer is.
Speed
Named, priced, vetted engineers in three to five business days. Scale to a full delivery team within a week when a large rollout demands it.
No lock-in
Hourly billing, no placement fees, no severance. When your customer's scope shifts, retask the engineer instead of renegotiating a contract.
How it works
You brief us on the engagement
One call on the customer, the scope, the stack, and the timeline. We map your delivery commitment to the right engineer profile.
We match named engineers in days
Within three to five business days you get one to three named, priced, senior engineers vetted for the specific work. You interview them on your terms.
They embed with your customer
Your matched engineer deploys under your banner and takes on the last-mile work. Hourly billing starts when the work starts.
You scale or retask
As the customer's scope evolves, scale the team up or retask the engineer to new work, with no new hire cycle and no new procurement.
What your deployed engineers handle
The last-mile work that turns a signed contract into a customer live in production.
Legacy data
Migration and integration into the customer's systems.
Compliance & security
Security review and the enterprise procurement realities that stall a rollout.
Workflow integration
Internal workflow integration and custom configuration.
Change management
Customer-side change management and enablement.
Production hardening
The production hardening that a demo environment never surfaces.
Fortune 500 depth
Senior builders who've done this under NDAs, IP assignment, and badge access, so your account team isn't pulled into infrastructure negotiations.
The caliber of engineer your customer meets
Senior, client-facing builders from the same network that ships production AI for Fortune 500s and high-growth startups.
A.Team Deployed vs. the alternatives
How we compare to a permanent FDE hire, generic staffing, and your existing contractors:
Time to start
6–9 months for a permanent FDE hire, 2–4 weeks for generic staffing, bench-dependent for existing contractors. A.Team Deployed: 3–5 days.
Vetting
Internal, self-reported, or unknown to you. A.Team Deployed: invite-only, under 2% acceptance.
Client-facing readiness
Built for it in a permanent hire, rarely in staffing, sometimes with contractors. A.Team Deployed: standard.
Engagement model
Permanent salary, fixed contract, or project-by-project. A.Team Deployed: scope-based and retaskable.
Cost
~$350K/yr fully loaded for a permanent hire, opaque hourly markup in staffing, variable with contractors. A.Team Deployed: ~$25K/mo, transparent.
Wears your badge
Yes for a permanent hire, no in staffing, sometimes with contractors. A.Team Deployed: yes, by design.
Frequently asked questions
Roughly $25,000 per month for a senior builder, fully loaded, on hourly billing. Engagements are scoped to your customer's delivery commitment, so you pay for the work the project requires. Compared to a permanent in-house FDE (about $350,000 a year fully loaded, per Levels.fyi) it's capital-efficient for engagements that can't justify a permanent function. No placement fees, no severance.
Same engineer profile (embedded with the customer, handling the last-mile delivery work) in an on-demand commercial structure. It's the FDE capability for companies that need it without building a permanent ~$350K FDE org.
Named, priced, vetted profiles in three to five business days. Scale to a full delivery team within a week for a large rollout.
Three failure modes buyers cite when they leave generic staffing: wrong-geography candidates, opaque rates, and slow follow-up. Every Deployed builder is sourced for your customer's stack and timezone, priced transparently, and sent as a named, vetted profile within days, from a curated network rather than a crowd.
The same network and community that's been doing this work since before it had a name. A.Team runs an AI Guild that meets monthly across the whole community, plus domain Circles that go deep in smaller groups on specific production problems. Members turn up with work they've shipped, not talks. That structure predates "forward deployed engineer" as a title, which is why so much of the Guild already fits the profile: senior engineers who integrate AI into real environments and sit in front of the customer while they do it. We've also built the training path that takes a strong AI engineer the rest of the way, because the constraint in this market is supply, and you don't solve supply by searching harder.
We score for it rather than assert it. Builders are assessed against a forward-deployment rubric covering production AI experience, client-facing readiness, and real availability, and they're ranked on it. When you brief us, your shortlist comes off the top of that ranking, not off whoever happens to be free. Then you interview them on your terms and decide for yourself.
Yes: onsite, hybrid, or remote, depending on your customer's compliance and operational needs. Our engineers have worked under client NDAs, IP assignment, and badge access across Fortune 500 environments.
Yes. A.Team is SOC 2 Type 2 compliant. Engineers work within your customer's NDA, IP assignment, badge-access, and security-review requirements, and we've run this model across Fortune 500 compliance environments.
Yes. The same network staffs enterprise teams directly, from a single forward deployed engineer embedded in your own AI initiative to a full delivery team. And if what you're after is is agentic teammates built built inside your environment and owned outright, that's our AI Solutions practice. Tell us the shape of the work and we'll route it to the right model.
Ready to brief us on the engagement?
Tell us the shape of the engagement (customer profile, stack, timeline) and we'll come back with named, senior engineers ready to embed.