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Careers at Alloy

Build AI systems where the work is consequential.

We hire experienced builders and deployment leaders who can move from an ambiguous operating problem to a system people trust and use.

Remote first · United StatesCore and project-based rolesClient-facing · hands-onTravel when the engagement requires it
Who we are hiring

Two priority profiles.
Both close to production.

These are not advisory roles with a thin technical layer. You will help frame the problem, work through the implementation, earn trust across a client organization, and stay until the new capability works in practice.

01 / Priority profile

Forward-Deployed AI Engineer

Design and ship production-grade AI, data, and automation systems inside financial-services environments.

5+ years typicalEngineering · data · MLClient-facing delivery

What you will own

  • Lead technical discovery, scope the work, and turn an ambiguous operating problem into a buildable system.
  • Own architecture and implementation across models, data pipelines, APIs, applications, evaluations, and deployment infrastructure.
  • Work directly with client engineers, operators, security teams, and domain experts from prototype through stable production.
  • Make trade-offs between speed, reliability, control, and adoption—and leave behind code, documentation, and working capability.

Experience we need

  • 5+ years in software, data, ML engineering, or hands-on technical deployment.
  • Production-level Python plus TypeScript, JavaScript, or a comparable application stack.
  • Experience with cloud systems, APIs, data pipelines, CI/CD, observability, and production incident debugging.
  • Practical experience building with LLMs: agents, retrieval, tool use, evaluation, guardrails, or model-driven applications.
  • A record of delivering with customers or cross-functional enterprise teams—not only building from a written specification.
Strong additional signals

Financial-services or regulated-industry experience; systems involving sensitive data, entitlements, auditability, reconciliation, research workflows, or investment operations; the judgment to explain what should not be automated.

Apply for this profile ↘
02 / Priority profile

AI Deployment Lead

Move firms from scattered experimentation to durable AI capability, measurable adoption, and production use.

5+ years typicalDeployment · enablement · changeExecutive to builder

What you will own

  • Run workflow discovery with executives, operators, engineers, risk, security, and compliance stakeholders.
  • Translate business priorities into a sequenced deployment plan with clear owners, controls, adoption measures, and production outcomes.
  • Design and lead working sessions, technical enablement, executive briefings, builder workshops, and adoption interventions.
  • Stay close to implementation: unblock decisions, test whether the system fits the work, and turn field lessons into reusable playbooks.

Experience we need

  • 5+ years in enterprise technology delivery, AI transformation, technical enablement, product operations, or implementation leadership.
  • Strong technical fluency across APIs, the software delivery lifecycle, agents, retrieval, evaluations, data architecture, and production trade-offs.
  • Experience leading complex customer programs from discovery through rollout—not just facilitating workshops or producing recommendations.
  • The ability to communicate credibly with C-level sponsors, technical teams, and the people whose day-to-day work will change.
  • Evidence that your programs produced sustained use, better decisions, lower risk, faster work, or another measurable operating result.
Strong additional signals

Financial-services transformation; technical training or builder enablement; operating-model and governance design; calm judgment when scope, stakeholder needs, and technical reality pull in different directions.

Apply for this profile ↘
How Alloy works

Senior judgment.
Hands on keyboard.

01

Embed

You work with the client team, inside the actual workflow—not from the edge of it.

02

Build

A recommendation is incomplete until the system, control, or new way of working exists.

03

Translate

You move easily between executive intent, domain nuance, and technical implementation.

04

Transfer

The work succeeds when the client can operate, govern, and extend what we built together.

The wider network

Not one of the two profiles?
Specialists still belong here.

We also assemble project teams from a trusted specialist network. If your work is excellent, relevant to consequential AI delivery, and you are comfortable operating directly with clients, choose the closest profile in the application.

Data & automation engineeringProduct & experience designChange & enablementDelivery & program leadershipSecurity, governance & architectureEarly-career Forge apprentices
Your application

Show the work.
Skip the performance.

A strong application makes your ownership visible. Tell us what was difficult, what you personally did, and what changed because the work shipped.

  1. 01Choose the closest role
  2. 02Link work, a résumé, or your profile
  3. 03Tell one consequential delivery story
+

Signal over paperwork.
A strong link is enough to start. We can ask for anything else later.

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