Descripción de la oferta
Experteer Overview Por favor, asegúrese de leer completamente el resumen y los requisitos de esta oportunidad de empleo que se detallan a continuación. In this Principal AI Engineer role, you embed with business teams to identify automation opportunities and design AI-powered tools that boost internal productivity. You’ll prototype and deploy scalable AI solutions across functions, translating business problems into reliable systems. You’ll work globally with cross-functional stakeholders to ship production-ready tools that improve how the company operates, with a focus on adoption and measurable impact. This is an ambitious, fast-moving position that shapes enterprise AI capabilities and drives real-world transformation.Compensaciones / Beneficios• Embed with business teams to understand workflows, pain points, and automation opportunities• Design and build AI-powered tools to improve internal productivity across finance, HR, operations, sales, and marketing• Rapidly prototype using modern AI/ML technologies (LLMs, Copilots, automation pipelines)• Deploy production-ready solutions with reliability, usability, and measurable impact• Bridge technical and non-technical teams, translating problems into scalable engineering solutions• Drive end-to-end delivery from discovery to rollout and adoption• Create reusable frameworks/platforms to accelerate future AI deployments• Operate globally with distributed teams to scale solutions across regionsResponsabilidades• 7–10+ years of experience in software engineering, ML, or applied AI• Strong experience designing and deploying production-grade systems in cloud environments• Experience building and deploying AI/ML systems, ideally with LLMs or generative AI• Experience in building/orchestrating/monitoring agentic/multi-agentic AI workflows• Ability to xcskxlj work across the stack (APIs, data pipelines, front-end interfaces)• Deep understanding of system design, distributed systems, and scalable architectures• Solid system design skills with focus on scalability, reliability, and security• Knowledge of data engineering and analytics workflows• Experience working in global, cross-functional teams• Familiarity with governance, security, and compliance for enterprise AIRequisitos principales• Flexible working environment• Volunteer time off• LinkedIn Learning• Employee-Assistance-Program (EAP)
