Forward Deployed Engineer - RiskOS Agents

Responsibilities

• Build with strategic customers and partners. Work side by side with large enterprises, public sector organizations, marketplaces, gaming platforms, fintechs, and other high-scale digital businesses to understand their workflows, data environments, technical constraints, business goals, and operational pain points.
• 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 behaviors that can operate reliably in production.
• 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 on it.
• Evaluate and improve agentic workflows. Help define how agents interact with tools, data, evidence, decisions, analyst queues, and business logic, then tune those workflows through testing, evals, observability, guardrails, feedback, and production learnings.
• 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 teams to convert them into reusable templates, playbooks, primitives, and product capabilities.
• What you bring

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