FORWARD DEPLOYED

Hire Forward Deployed Engineers

The rollout role AI-native companies swear by: an engineer embedded in your business who turns AI capability into deployed workflow.

WHY CONECTIA

Why AI rollouts need an FDE

Models are ready; organizations aren't. A forward deployed engineer closes that gap from inside your team, where the real constraints live.

01.

Embedded, not outsourced

Works in your meetings, your data and your constraints — integration happens where the work is.

02.

Full-stack plus infrastructure

Prototype to production in one person: interface, APIs and the deployment path underneath.

03.

Transfer built in

The exit criterion of an FDE engagement is your team operating the system without them.

3%of candidates pass CTO vetting
72hto a vetted match
7+years average experience
PROCESS · 72 HOURS

From discovery call to working engineer

No self-serve marketplace, no CV roulette: a CTO scopes the role with you and matches from a bench that already passed the hard filter.

01.

Discovery with a CTO

Thirty minutes on your stack, constraints and definition of done — with an engineer, not a salesperson.

02.

Bench match

We match against vetted seniors only. If the fit is not there, we say so instead of stretching a profile.

03.

Match in 72 hours

The person for your context, with real code and architecture assessments attached — interviews optional, not mandatory.

04.

14-day Pilot Sprint

Judge working output on your repo before any long-term commitment. Zero-risk by design.

Forward Deployed EngineerClient-embeddedAI rolloutFull-stack + infra
DEPLOYMENT · THE FULL ARC

Staffing ends at the match. Deployment ends at the handover.

Marketplaces optimize the moment you accept a profile; everything after is yours to run. Every Conectia engineer ships with the full arc around them — not as a premium tier, but as the only way we place anyone.

01.

Find

CTO-designed vetting passes 3% of candidates — and we present the person for your context, not a stack of CVs to interview through.

72h match
02.

Deploy

Onboarding prepared before day one: access, context, the first week planned. A delivery manager runs the engagement end to end when the project calls for it.

Day-one plan
03.

Sustain

Check-ins every week — daily when the phase demands it — with you and with the engineer. Wrong fit? A substitute within 7 days, inside the 30-day guarantee, at no added cost.

7-day replacement
04.

Hand over

The ending is a deliverable: full documentation, working accounts handed over, and a safe delete of corporate content — every credential accounted for.

Safe delete
RATES · ONE INVOICE

26–71% below an equivalent local hire

Location-based rates with everything included — you compare a single number against your local cost, not a fee maze.

  • A single flat rate — compliance, payroll and EOR included
  • Zero recruiting fees; 30-day replacement guarantee
  • Start with a 14-day Pilot Sprint and judge the output, not the CV
FAQ

What CTOs and founders ask us

What is a forward deployed engineer?

A senior engineer who embeds with a customer team to adapt and deploy technology inside real workflows — a model proven by Palantir and now standard at AI-native companies.

How is an FDE different from a consultant?

Consultants recommend; FDEs commit code. The deliverable is a working system in production, plus a team trained to run it.

How long is a typical FDE engagement?

Weeks to a few months per workflow: from a 14-day Pilot Sprint to rollout, with knowledge transfer as the closing phase.

Can FDEs work with sensitive data?

Yes — engagements run under your access controls, with EU-grade DPAs, on-VPC deployment options and audit trails.

What outcomes should we expect?

A deployed AI workflow with measured adoption and cost, documentation, and an internal owner trained to operate it.

Deploy AI where the work happens

A CTO designs your team from a discovery call — no CV stacks, no recruiters in the middle.