2 months ago
Remote, United StatesMid Level
H1B sponsor
Base Salary
$250k - $280k/yr
Responsibilities
- Work directly with strategic enterprise, public sector, marketplace, gaming, fintech, and other high-scale customers and partners to understand workflows, data environments, technical constraints, and operational goals.
- Own deployments from prototype to production, including discovery, technical scoping, solution design, build, integration, testing, rollout, and adoption.
- Translate customer policies, SOPs, data sources, and operational processes into RiskOS workflows, integrations, data mappings, tool connections, case flows, and agent behaviors.
- Write code, configure systems, debug issues, and integrate with customer infrastructure, APIs, data sources, security boundaries, analyst tools, and operational systems.
- Define, test, evaluate, and improve agentic workflows involving tools, data, evidence, decisions, analyst queues, and business logic using evals, observability, guardrails, feedback, and production learnings.
- Measure improvements in speed, accuracy, consistency, analyst productivity, review burden, evidence quality, and operational control.
- Surface product gaps and repeatable implementation patterns and convert them into reusable templates, playbooks, primitives, product capabilities, and implementation accelerators.
- Partner with product, engineering, data science, security, and go-to-market teams to incorporate deployment learnings into the platform and roadmap.
Requirements
- Hands-on experience building practical solutions across APIs, integrations, workflow logic, data mappings, internal tools, scripts, production systems, or cloud services.
- Ability to own ambiguous customer problems from discovery through production while balancing scope, speed, quality, risk, and long-term platform leverage.
- Experience working directly with enterprise customers, strategic partners, or internal business stakeholders to define solutions and deliver usable outcomes.
- Product-minded engineering judgment spanning architecture, implementation, debugging, user needs, product tradeoffs, operational risk, and stakeholder communication.
- Ability to break complex workflows into modular, testable components, identify risks early, and execute with clarity in ambiguous environments.
- Likely 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 experience deploying AI, ML, LLM, or decision-support systems in production.
- Preferred experience in fraud, risk, identity verification, KYC, KYB, AML, sanctions, adverse media, transaction monitoring, disputes, trust and safety, or compliance operations.
- Preferred experience with complex enterprise customers such as financial institutions, government agencies, marketplaces, gaming companies, or fintechs.
- Preferred experience with workflow orchestration, case management, rules engines, decisioning platforms, operational automation, evaluation pipelines, or customer-specific implementation tooling.
About Socure
Socure builds an AI-driven digital identity verification and fraud prevention platform used by banks, fintechs, e-commerce, telecom, healthcare, and government agencies to automate KYC/AML, document verification, and risk decisioning. It sells enterprise APIs and workflows for onboarding, authentication, and payments fraud mitigation. Founded in 2012 and headquartered in Incline Village, Nevada, Socure is privately held and operates across regulated and high-volume digital markets.