Socure
Forward Deployed Engineer - RiskOS Agents
$250K–$280K
Remote - USA +3 · Remote · Full-time · Posted Aug 17, 2026
- Location
- Remote - USA
Hybrid - San Francisco, CA
Hybrid - Seattle, WA
New York - Remote - Experience
- 4+ years in software engineering, forward deployed engineering, solutions engineering, implementation engineering, applied AI engineering, technical consulting, or a similar hands-on technical role.
About the job
Build and deploy AI-assisted RiskOS workflows with strategic customers, from discovery and system design through production rollout, evaluation, and adoption.
What you'll do
- Lead customer deployments from technical scoping through integration, testing, rollout, and adoption.
- Build and improve workflows, integrations, and agent behaviors; evaluate them using testing, observability, guardrails, and feedback.
- Measure customer outcomes and turn deployment learnings into reusable RiskOS capabilities with product and engineering teams.
What they ask for
- Hands-on experience building technical solutions such as APIs, integrations, workflow logic, data mappings, scripts, or production systems.
- Ability to own ambiguous customer problems end to end and work directly with enterprise customers, partners, or business stakeholders.
- Product-minded engineering judgment, systems thinking, and comfort with ambiguity.
Nice to have
- Experience deploying AI, ML, LLM, or decision-support systems in production.
- Experience in fraud, risk, identity, compliance operations, or complex enterprise customer environments.
Pay
$250K – $280K (USD, base salary)
Tools
Python, SQL, APIs, cloud services, workflow tools, LLM workflows, retrieval systems, tool calling
AI focus
Deploy, evaluate, and improve agentic AI workflows for fraud, risk, identity, and compliance operations.
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