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Rackspace Technology

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1998

🏢 Corporativo

🤖 Inteligência Artificial

🔐 Segurança

Enterprise • Artificial Intelligence • Security

A Rackspace Technology é um provedor global de serviços gerenciados em nuvem que projeta, constrói, migra e opera ambientes multicloud, híbridos e de nuvem privada para empresas. Oferece consultoria, serviços profissionais e gerenciados em infraestrutura de nuvem, modernização de aplicativos, plataformas de dados, IA/ML (Foundry de IA/FAIR) e cibersegurança, além de hospedagem gerenciada, colocation e integrações de plataforma com os principais hyperscalers. A Rackspace atende indústrias reguladas e críticas, com foco em segurança, conformidade, otimização de custos e confiabilidade operacional.

Descrição

• Embed with strategic enterprise customers to rapidly diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site • Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications • Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks • Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization • Architect production-grade Enterprise AI applications on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes) • Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks • Develop and fine-tune LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI) • Ship with full-stack and DevOps depth: Python, Node.js/Go , React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management • Champion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production • Identify expansion opportunities by working with sales and customer success to uncover high-value use cases across new business domains • Feed structured field insights back to Platform Engineering and Product on feature gaps, emerging needs, and usability improvements • Build reusable IP through reference architectures, accelerators, frameworks, and technical best practices that scale future engagements • Mentor engineers and customer teams, driving knowledge transfer and building internal AI competencies.

🎯 Requisitos

• BS/MS/PhD in Computer Science, Data Science, Engineering, Mathematics, Physics, or related field • 3+ years in software engineering, data engineering, or AI/ML delivery; in customer-facing or field roles • Proven track record in building and deploying AI/ML applications in production at enterprise scale • Deep full-stack proficiency: Python (required), Node.js/Go , React/Vue, SQL/NoSQL databases • Hands-on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks • Strong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud-native deployment patterns • Experience integrating across heterogeneous enterprise systems - ERP, data warehouses, data lakes, streaming architectures • Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines • Excellent communication skills - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration • Willingness to travel up to 25% for on-site customer engagements.

🏖️ Benefícios

• Health insurance • 401(k) matching • Flexible working hours • Paid time off