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Forward Depolyed Engineer - RiskOS Agents

🕒 19 days ago
Software EngineeringForward Deployed EngineeringSolutions EngineeringImplementation Engineering

📜 Description

  • Own deployments from prototype to production. Lead discovery, technical scoping, solution design, build, integration, testing, rollout, and adoption for AI-assisted RiskOS workflows in real customer environments.
  • Turn complex operations into working systems. Translate customer policies, SOPs, data sources, and operational processes into RiskOS workflows, integrations, data mappings, tool connections, case flows, and agent
  • Build the connective tissue. Write code, configure systems, debug issues, and integrate with customer infrastructure, APIs, data sources, security boundaries, analyst tools, and operational systems when progress depends
  • Prove measurable customer value. Measure whether deployed workflows improve speed, accuracy, consistency, analyst productivity, review burden, evidence quality, operational control, or other customer-defined outcomes.
  • Turn field learning into platform leverage. Surface product gaps, implementation friction, and repeatable patterns, then partner with product, engineering, data science, security, and GTM

🛠️ Requirements

  • Strong hands-on technical ability. You have experience building practical solutions across APIs, integrations, workflow logic, data mappings, internal tools, scripts, production systems, cloud services, or similar technical surfaces.
  • End-to-end ownership. You can take an ambiguous customer problem from discovery to production, making good tradeoffs across scope, speed, quality, risk, and long-term platform leverage.
  • Customer-facing problem solving. You have worked directly with enterprise customers, strategic partners, or internal business stakeholders to understand messy problems, define workable solutions, and ship usable outcomes.
  • Product-minded engineering judgment. You can move fluidly between architecture, implementation, debugging, user needs, product tradeoffs, operational risk, and stakeholder communication.
  • Systems thinking and calm execution. You can break complex workflows into modular, testable, improvable components, spot risks early, and keep teams moving with clarity and follow-through.
  • High agency and comfort with ambiguity. You thrive in fast-moving environments where requirements are incomplete, priorities evolve, and the category is still being defined.
  • Experience deploying AI, ML, LLM, or decision-support systems in production environments.
  • Experience in fraud, risk, identity verification, KYC, KYB, AML, sanctions, adverse media, transaction monitoring, disputes, trust and safety, or compliance operations.
  • Experience working with large 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 customer-specific implementation tooling.
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