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 build Orchestration and control‑plane infrastructure for AI across functions Connectors across tools, workflows, documents, and operational signals Permissions, tracing, context services, and deployment plumbing Sandboxed environments for testing AI systems against real operational data Internal tools that bridge the gap between a prototype and something a team can rely on every day This is not a generic AI engineer, prompt engineer, model‑training, or applied‑LLM feature role. What we’re looking for Senior, staff, principal, or architect‑level engineering experience Strong systems depth across backend services, integrations, data flows, and application logic Evidence of building internal platforms or workflow systems, not just end‑user AI features Practical daily use of LLMs as building tools Clear judgment about deterministic versus model‑driven system boundaries Experience with human review, escalation, auditability, and operational safeguards Willingness to work closely with teams to understand real workflows, not just stated requirements You may be a strong fit if You’ve built internal platforms, shared services, or workflow systems used by multiple teams You’ve designed connectors, integration patterns, tool contracts, or context layers You’ve built AI systems for enterprise operations, security‑sensitive workflows, compliance‑heavy domains, or internal business processes You are probably not a fit if Your background is mainly generic AI/ML feature work Your strongest work is consumer search, ranking, recommendation, or shopping systems Your work is mostly model training or research without substantial systems ownership Your background is mostly prompt engineering, coursework, or hackathon projects Health, dental, vision, life, and short/long‑term disability insurance Paid vacation, holidays, and sick leave Competitive compensation and opportunities for advancement Retirement plan with employer contribution match Welcoming, family‑style corporate culture uniquely suited to fast‑paced, entrepreneurial, and motivated individuals One of San Antonio’s “Best Places to Work” for nine consecutive years #J-18808-Ljbffr