Forward Deployed AI Engineer

🕒 Agosto 6

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Cloudera

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2008

💼 Consultoria

🏥 Saúde

📦 Logística

💰 $4.099.999 Venture Round em 2013-01

Consulting • Healthcare • Logistics

Cloudera é uma empresa líder em Enterprise Data Cloud que capacita empresas a gerenciar e analisar dados em qualquer ambiente. Oferecendo uma plataforma de dados híbrida, a Cloudera viabiliza arquiteturas modernas de dados com soluções como open data lakehouse, data mesh escalável e data fabric unificado, projetadas para inteligência artificial (IA), engenharia de dados e machine learning (ML). Os principais setores atendidos incluem serviços financeiros, telecomunicações, saúde e outros, nos quais a plataforma da Cloudera possibilita uma gestão de dados segura, escalável e eficaz. Ao alavancar IA e analytics avançado em escala, a Cloudera ajuda as organizações a transformar dados em insights acionáveis.

Descrição

• Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases • Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness • Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases • Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks • Act as a thought leader, mentor Cloudera teams, and contribute to resources that grow overall AI capability • Channel field and customer feedback back to Product teams to continuously improve the AI platform and products

🎯 Requisitos

• 7+ years of experience building and deploying production-grade systems • 2–4 years of experience specifically focused on building ML systems or GenAI and agentic applications • Strong hands-on software engineering, data engineering, and applied AI/ML skills • Demonstrated experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling • Experience with MLOps frameworks, LLM orchestration, and modern AI stacks such as LangChain, LlamaIndex, vLLM, Ray, and MLflow • Hands-on experience with Vector Databases and Retrieval-Augmented Generation (RAG) architectures • Background in client-facing consulting, technical account management, or solution architecture within enterprise environments • Familiarity with distributed data engineering platforms including Apache Spark, Iceberg, and Kubernetes

🏖️ Benefícios

• Generous PTO Policy • Unplugged Days • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups