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CloudFactory

Dallas / Global

Forward Deployed Engineer

Job Description

Cloudfactory Engineering RoleCloudfactory is an AI enablement company where our software platform enables trusted AI at scale. Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to leverage AI to disrupt their industries but lack the skills or capabilities needed to design, prove, develop and deploy AI solutions we offer Forward deployed Engineering services that can advise, design, prove, develop, scale and operate AI solutions for them.You will work directly with strategic clients to design and implement scalable technical integrations, define production-ready workflows, and ensure AI systems transition from experimentation to reliable deployment.This is a hands-on engineering role with strong product and client-facing responsibilities.Preferred location: Dallas, TXRelocation assistance available for qualified candidatesFrequent travel to client sites may be required (depending on client needs)Responsibilities:AI Deployment Architecture:Design and implement integrations between client systems and CloudFactory's platformArchitect scalable agentic AI & human-in-the-loop workflowsDefine data ingestion, transformation, and feedback loopsEvaluate system bottlenecks (latency, quality, throughput)Product Readiness & Scale:Translate proof-of-concept AI systems into scalable production workflowsIdentify operational risks before deploymentPartner with Delivery teams to ensure execution feasibilityImprove reliability and reduce manual interventionHands-on Engineering:Build APIs, connectors, automation scripts, and data pipelinesDebug integration issues in client environmentsContribute to internal platform enhancementsField Product Intelligence:Surface recurring patterns from client deploymentsDistinguish between custom solutions and reusable featuresInfluence roadmap priorities with evidence from the fieldTechnical Leadership:Lead technical discovery sessionsSupport pre-sales validationAct as trusted advisor to enterprise engineering teams
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