AI Systems Engineer / Architect

We're hiring an experienced engineer to build the internal AI platform and systems infrastructure for an established enterprise data security company with 40 years in the market.This is a hands-on role for someone who can take messy real-world workflows and turn them into reliable internal systems.You'll work closely with leadership, domain owners, and a knowledge engineer focused on workflow design, process mapping, and evaluation. The job is to understand how work actually happens, identify where AI creates leverage, and build the systems that make it dependable in practice.You'll help buildOrchestration and control-plane infrastructure for AI across functionsConnectors across tools, workflows, documents, and operational signalsPermissions, tracing, context services, and deployment plumbingSandboxed environments for testing AI systems against real operational dataInternal tools that bridge the gap between a prototype and something a team can rely on every dayThis is not a generic AI engineer, prompt engineer, model-training, or applied-LLM feature role.What we're looking forSenior, staff, principal, or architect-level engineering experienceStrong systems depth across backend services, integrations, data flows, and application logicEvidence of building internal platforms or workflow systems, not just end-user AI featuresPractical daily use of LLMs as building toolsClear judgment about deterministic versus model-driven system boundariesExperience with human review, escalation, auditability, and operational safeguardsWillingness to work closely with teams to understand real workflows, not just stated requirementsYou may be a strong fit ifYou've built internal platforms, shared services, or workflow systems used by multiple teamsYou've designed connectors, integration patterns, tool contracts, or context layersYou've built AI systems for enterprise operations, security-sensitive workflows, compliance-heavy domains, or internal business processesYou are probably not a fit ifYour background is mainly generic AI/ML feature workYour strongest work is consumer search, ranking, recommendation, or shopping systemsYour work is mostly model training or research without substantial systems ownershipYour background is mostly prompt engineering, coursework, or hackathon projectsHealth, dental, vision, life, and short/long-term disability insurancePaid vacation, holidays, and sick leaveCompetitive compensation and opportunities for advancementRetirement plan with employer contribution matchWelcoming, family-style corporate culture uniquely suited to fast-paced, entrepreneurial, and motivated individualsOne of San Antonio's "Best Places to Work" for nine consecutive yearsJ-18808-Ljbffr