AI Platform Architect

🕒 Agosto 27

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🔙 Engenheiro Backend

👻 Score fantasma 10%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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NewRocket

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

💼 Consultoria

🏥 Saúde

🛡️ Seguros

Consulting • Healthcare • Insurance

NewRocket é um parceiro global de destaque da ServiceNow, oferecendo uma ampla gama de serviços e soluções para ajudar líderes empresariais a resolver problemas complexos de negócios. Eles são especializados em serviços de consultoria e transformação, design e implementação, serviços gerenciados e mais, com foco em melhorar as experiências de clientes e funcionários através do uso da plataforma ServiceNow. Suas soluções incluem plataformas e integrações, segurança, risco e resiliência, bem como excelência tecnológica. NewRocket atende a uma variedade de indústrias, incluindo educação, saúde, serviços financeiros e o setor público, entre outros, e é conhecida por sua expertise em design de UI e UX, bem como por sua capacidade de aprimorar fluxos de trabalho e melhorar processos de negócios de forma eficiente.

Descrição

• Design, build, deploy, and maintain scalable platform capabilities for enterprise AI, machine learning, LLM, RAG, and agentic AI applications • Create reusable reference architectures, infrastructure patterns, deployment templates, integration components, and engineering standards • Build secure integrations with the Anthropic API, Claude models, enterprise data, APIs, workflow systems, and authorized tools • Establish and operate CI/CD pipelines, LLMOps and MLOps capabilities, versioning, testing, release management, rollback, and change control • Support production AI operations, including incident response, troubleshooting, root-cause analysis, capacity planning, and service-level monitoring • Design and manage cloud infrastructure across AWS, Microsoft Azure, Google Cloud Platform, or client-approved environments • Implement infrastructure as code, containerized deployments, identity and access controls, security, privacy, compliance, logging, monitoring, auditing, disaster recovery, and business continuity • Build secure data ingestion, transformation, indexing, retrieval, RAG, vector search, and enterprise data integration pipelines • Implement responsible AI safeguards, observability, tracing, evaluation, output validation, human-in-the-loop workflows, and governance controls • Build integrations between AI platforms, ServiceNow, enterprise APIs, identity providers, workflow tools, collaboration platforms, and business systems • Collaborate with AI Architects, engineers, ServiceNow teams, product engineering, security, data teams, and client stakeholders • Contribute to technical documentation, playbooks, runbooks, reference architectures, reusable modules, demos, architecture reviews, and customer workshops • Convert recurring client requirements into scalable productized platform features and accelerators

🎯 Requisitos

• 5+ years of experience in platform engineering, cloud engineering, DevOps, software engineering, data engineering, systems integration, or related technical roles • Hands-on experience designing and deploying cloud-native applications and services on AWS, Microsoft Azure, and/or Google Cloud Platform • Strong experience with CI/CD, Git-based workflows, automated testing, infrastructure as code, and production release processes • Experience with Docker, Kubernetes, serverless services, or comparable cloud-native platforms • Proficiency in Python, JavaScript/TypeScript, Java, Go, Bash, or similar programming and scripting languages • Experience designing and consuming REST APIs, integrating enterprise applications, and implementing authentication and authorization patterns • Hands-on experience with LLM-powered applications, generative AI services, AI/ML platforms, RAG systems, AI workflow automation, or related technologies • Familiarity with prompt and context engineering, token management, embeddings, vector search, RAG, structured outputs, tool use/function calling, evaluations, and model monitoring • Experience with logging, metrics, tracing, alerting, and incident management • Strong knowledge of cloud security, identity and access management, secrets management, network security, and secure software-development practices • Experience with relational databases, NoSQL databases, data warehouses, object storage, search platforms, or vector databases • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical discipline; equivalent relevant professional experience will be considered • Ability to work effectively in a fast-paced, collaborative, customer-oriented environment • Relevant certifications are a plus, not required

🏖️ Benefícios

• Diverse and inclusive workplace • Equal opportunity and affirmative action employer • Disability accommodation support • Travel based on client and business needs