Forward deployedengineers,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.
- 100+deployment-ready FDEs
- 3,000+AI bench behind them
- <2%acceptance rate
- 30+countries
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.
Senior and client-facing by default.
Sales outpaces delivery
Enterprise contracts close faster than deployment teams can staff them, leaving signed deals waiting on people you don't have.
The last mile stalls everything
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.
Senior FDEs are scarce
The forward deployed engineer role grew roughly 40x in 24 months, and demand for senior FDEs far outstrips supply.
The scarcity has a shelf life
Enterprises are building the capability in-house, agents are starting to self-deploy, and in two or three years this gap closes. A permanent org is a long answer to a temporary problem, and most mid-market AI companies can't justify one anyway.
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 already chosen. White-label and vendor-neutral, both by design.
Cultivated, not sourced
100+ deployment-ready engineers drawn from a 3,000-strong AI bench, under 2% accepted. We've been developing this profile since before it had a title.
They own it, then hand it back
Your engineer finds the real problem, builds the last mile, and stays until the outcome holds. Then it transfers to your team and they rotate off.
Scoped to the outcome, not a headcount plan
Monthly, per engagement, scoped against the delivery commitment. No placement fees, no severance, and no permanent org to justify once the rollout is done.
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 scope it and name the team
Within three to five business days we come back with the engineer or pod we're putting on it, priced, with the reasoning for that shape. You meet them before anything starts.
They embed with your customer
Your matched engineer deploys under your banner and takes on the last-mile work.
They prove the outcome, then hand it over
Once the work is repeatable, the knowledge transfers to the team who'll run it and the engineer rotates off. You keep the capability, not a dependency.
What your deployed engineers handle
Roughly 70% of forward-deployed work is evals, custom pipelines and change management, and only 30% is core build — the inverse of traditional services. That's the part a contractor doesn't cover.
Legacy data
Migration and integration into the customer's systems.
Compliance & security
Security review and the 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 hardening a demo environment never surfaces.
Customer-specific evals
What "correct" means differs by customer. The engineer builds and tunes it.
Enterprise access
NDAs, IP assignment, and badge access, handled as standard.
Procurement cover
Your account team stays out of infrastructure and security negotiations.
Runbooks and handover
The documentation that lets your team run it once the engineer rotates off.
The expertise behind the bench
Deployment-ready engineers come out of a network with real depth in the industries and disciplines enterprise rollouts land in. Engineers, AI architects, data scientists, product managers and DevOps, so the shape of the team follows the shape of the problem.
- CPG
- Legal & professional services
- Healthcare
- Financial services
- Manufacturing
- Pharmaceuticals
- Civil & environmental
- PE / VC
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:
| Criterion | Permanent FDE hire | Generic staffing | Your contractors | A.Team Deployed |
|---|---|---|---|---|
| Time to start | 6–9 months | 2–4 weeks | Bench-dependent | 3–5 days |
| Vetting | Internal | Self-reported | Unknown to you | Invite-only, under 2% |
| Client-facing readiness | Built for it | Rarely | Sometimes | Standard |
| Owns the outcome | Yes | No | No | Yes, then hands it back |
| Cost | $200–350K/yr loaded | Opaque hourly markup | Variable | ~$25K/mo, transparent |
| Wears your badge | Yes | No | Sometimes | Yes, by design |
Frequently asked questions
Roughly $25,000 per month for a senior builder, fully loaded. Engagements are scoped to your customer's delivery commitment, so you pay for the work the project requires. Insight Partners puts a permanent in-house FDE at $200–350K a year fully loaded, so this is capital-efficient for engagements that can't justify a permanent function. No placement fees, no severance.
Same engineer profile — embedded with the customer, discovering and building the last-mile solution, owning it until it's repeatable — in an on-demand commercial structure. It's the FDE capability for companies that need it without building a permanent 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. And a staffing firm sends you capacity; this engagement is scoped to an outcome and ends when the outcome holds.
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. 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 agentic teammates 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.