About this role
At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.
More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.
Our Culture
At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:
Mission-Driven: We focus on creating economic and social impact.People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.Innovative: We embrace change and find better ways to do things together.Globally Connected: We foster collaboration between diverse cultures and perspectives.If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!
Role Summary:
Cloudfactory 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.
Location & Travel:
Preferred location: Dallas, TX Relocation assistance available for qualified candidates Frequent 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 teamsRequirements
Engineering depth:
2+ years software engineering experienceStrong proficiency in Python, GoProficiency with Claude and all relevant AI toolsExperience with cloud infrastructure (AWS/GCP/Azure)Experience building APIs and working with distributed systemsSystems thinking:
Experience designing data pipelines or ML infrastructureAbility to evaluate end-to-end workflow performanceFamiliarity with AI/ML lifecycle (training → inference → evaluation → feedback)Product judgement:
Ability to differentiate scalable feature opportunities from custom requestsStrong prioritization instinctsCommunication:
Ability to communicate with C-level and deeply technical stakeholdersComfortable running technical workshopsAble to translate ambiguity into architecture