Forward Deployed Engineer - RiskOS Agents
Carson City, United States · Hybrid · Full-time
- Posted 1mo ago
- From Socure’s careers page
- Location
- Carson City, United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Staff
- Experience
- 4+ years
- Department
- Engineering
Opens the listing on jobs.ashbyhq.com
Let the right jobs find you
In your inbox every Wednesday and SaturdayPersonalised suggestions from verified career pages, matched to your role, location, level and skills.
About the role
What you will do
- 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.
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 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.
- Relevant technical background. You likely have 4+ years of experience in software engineering, forward deployed engineering, solutions engineering, implementation engineering, applied AI engineering, technical consulting, or a similarly hands-on technical role. Experience with Python, SQL, APIs, cloud services, workflow tools, LLM workflows, retrieval systems, tool calling, copilots, evaluation frameworks, observability, or agentic systems is especially helpful.
Preferred qualifications
- 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.
What success looks like in year one
- Large strategic customers and partners are live or in advanced rollout with AI-assisted RiskOS workflows that solve meaningful operational problems.
- Deployed workflows show measurable customer value, such as faster investigations, lower manual review burden, better evidence quality, stronger consistency, improved operational control, or higher analyst productivity.
- Customer-specific lessons have been converted into reusable templates, playbooks, evaluation patterns, workflow primitives, implementation accelerators, or product requirements.
- Product and engineering teams have a sharper roadmap based on real deployment learnings, not abstract requirements.
- Socure has a clearer repeatable motion for deploying agentic workflows across fraud, risk, identity, and compliance operations.
About Socure
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
Skills they ask for
Pick one to see other roles that ask for it.
About Socure
Identity verification and risk decisioningSocure provides identity verification and AI decisioning tools for fraud, risk and compliance workflows.
See all 49 roles at SocureMore roles at Socure
See all 49- Data Scientist II, Fraud & RiskSan Francisco · HybridData and Analytics · HybridSan Francisco, United States9h
- General (Non Tech) Job TemplateBengaluru · RemoteMarketing · RemoteBengaluru, India10h
- Staff Product Operations ManagerNew York · Staff · HybridProduct Management · Staff · HybridNew York, United States1d
- Technical Content Marketing ManagerIncline Village · Senior · RemoteMarketing · Senior · RemoteIncline Village, United States2d
Let the right jobs find you
In your inbox every Wednesday and SaturdayPersonalised suggestions from verified career pages, matched to your role, location, level and skills.