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.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
11-50 employees