Forward Depolyed Engineer - RiskOS Agents

Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. Socure’s mission is to verify 100% of good identities while eliminating fraud online. With RiskOS, we are expanding that mission into an AI-powered operating system for fraud, risk, identity, and compliance operations - serving some of the world’s largest financial institutions, government agencies, prediction markets, gaming companies, marketplaces, fintechs, and digital platforms.   As a Forward Deployed Engineer, you will help move AI-assisted workflows from promising ideas to trusted production systems. You will work directly with large strategic customers and partners, own the path from discovery and technical scoping to system design, build, deployment, evaluation, and adoption, and solve problems where speed, trust, explainability, and control all matter.   This is not a traditional implementation, advisory, or professional services role. You will be an embedded builder: close enough to customer teams to understand how work actually happens, technical enough to build into real environments, and product-minded enough to turn what works into reusable RiskOS capabilities.

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 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