Forward Deployed Engineer (AI)

Location: Hybrid in the United States, New York, San Francisco, or Seattle

Salary: $250,000–$280,000 annual base salary, plus equity, benefits, and an annual bonus or commission plan.

Company

hirify.global builds identity trust infrastructure and RiskOS, an AI-powered operating system for fraud, risk, identity, and compliance operations.

What you will do

• Work directly with strategic enterprise customers and partners to understand workflows, data environments, technical constraints, and operational goals.
• Own AI-assisted RiskOS deployments from discovery and technical scoping through solution design, integration, testing, rollout, and adoption.
• Translate customer policies, SOPs, data sources, and operational processes into reliable workflows, integrations, case flows, and agent behaviors.
• Write code, configure systems, debug issues, and integrate APIs, data sources, security boundaries, analyst tools, and operational systems.
• Evaluate and improve agentic workflows using testing, evaluation frameworks, observability, guardrails, feedback, and production learnings.
• Convert repeatable customer patterns and deployment learnings into templates, playbooks, workflow primitives, and product capabilities.

Requirements

• Hands-on experience building solutions across APIs, integrations, workflow logic, data mappings, internal tools, scripts, production systems, or cloud services.
• Ability to own ambiguous customer problems end to end, from discovery through production deployment.
• Experience solving technical problems directly with enterprise customers, strategic partners, or internal business stakeholders.
• Strong product-minded engineering judgment, systems thinking, communication, and execution in ambiguous environments.
• 4+ years of experience in software engineering, forward deployed engineering, solutions engineering, implementation engineering, applied AI engineering, technical consulting, or a similar hands-on technical role.
• Experience with Python, SQL, APIs, cloud services, workflow tools, LLM workflows, retrieval systems, tool calling, evaluation frameworks, observability, or agentic systems is helpful.

Nice to have

• Experience deploying AI, ML, LLM, or decision-support systems in production.
• Experience in fraud, risk, identity verification, KYC, KYB, AML, sanctions, transaction monitoring, disputes, trust and safety, or compliance operations.
• Experience with financial institutions, government agencies, marketplaces, gaming companies, fintechs, or other complex enterprise customers.
• Experience with workflow orchestration, case management, rules engines, decisioning platforms, operational automation, evaluation pipelines, or implementation tooling.

Culture & Benefits

• Work on complex identity, fraud, risk, and compliance problems with significant customer and public-sector impact.
• Operate in a fast-moving environment that values ownership, critical thinking, precision, and comfort with ambiguity.
• Compensation includes equity, benefits, and an annual bonus or commission plan.
• Equal opportunity employment and accommodation support are provided during the hiring and onboarding process.