AI Forward Deployed Engineer
US$160,000 – US$200,000 / yr base salary
Posted 24 Jun 2026
Advertised as “AI Forward Deployed Engineer ”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$160,000 – US$200,000 / yr |
|---|
Study levelGraduate certificate or higher
Who You Are
You are an experienced software engineer with a forward-deployed background and a modern AI perspective. You have worked on government projects in GovCloud, FedRAMP, or IL-4/IL-5 environments. You've managed cloud environments in both commercial and government contexts — experienced across the major cloud ecosystems, with depth in AWS. Above all, you're comfortable sitting alongside clients to mutually architect and integrate systems and capabilities, translating their mission into working software.
You're also an engineer who codes with AI as a first-class tool, not an add-on. You pair traditional technical training with a forward-leaning approach to agentic coding, rapid prototyping, and multi-agent workflows. You move fast, iterate with stakeholders, and care about shipping things that work.
Who We Are
Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities. Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences.
Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s SaaS solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously.
To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family friendly work-life balance.
What a Great Candidate Looks Like
- US Citizen
- 4+ years of professional experience, including graduate or Ph.D. work if relevant
- Technical education; post-graduate education preferred
- Forward-leaning in AI coding, with traditional technical training as a foundation
- Hands-on with AI coding tools and agentic workflows (Claude Code, GPT/Codex, Cursor, Windsurf), including multi-agent approaches for testing and validation