AI Architect

🕒 Agosto 25

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Engenheiro de IA

👻 Score fantasma 21%

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

• Architect, develop, deploy, and maintain scalable AI and machine learning solutions for enterprise use cases • Define end-to-end architectures covering data ingestion, preparation, model selection, orchestration, APIs, workflow integrations, user experiences, monitoring, and governance • Identify high-value AI opportunities and translate requirements into technical designs and delivery roadmaps • Design predictive analytics, classification, clustering, forecasting, anomaly detection, recommendation, and intelligent automation solutions • Establish enterprise AI standards, reference architectures, reusable patterns, and best practices • Lead technical discovery, architecture workshops, design reviews, proofs-of-concept, and client demonstrations • Design and implement generative AI applications using Claude, the Anthropic API, and other LLM platforms • Architect secure RAG solutions grounded in enterprise documents, knowledge bases, databases, and other data sources • Build AI capabilities using structured outputs, tool use/function calling, APIs, and workflow orchestration • Architect and implement agentic AI systems with authorized tools, multi-step tasks, defined boundaries, permissions, memory, approval gates, fallbacks, and escalations • Integrate agentic workflows with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems • Implement human-in-the-loop controls and safeguards against unauthorized access, prompt injection, unsafe outputs, and uncontrolled autonomy • Develop, train, validate, deploy, and monitor machine learning models • Build data-processing and feature-engineering pipelines • Develop integrations, APIs, microservices, automation logic, and ETL/ELT pipelines • Apply secure engineering practices for authentication, authorization, secrets management, encryption, logging, error handling, and access controls • Establish AI evaluation frameworks, test suites, regression testing, observability, monitoring, tracing, alerting, and feedback loops • Define governance for privacy, sensitive data, model access, auditability, limitations, and responsible AI usage • Design ServiceNow AI-enabled workflow automations and intelligent experiences • Support chatbot, virtual-agent, employee-support, customer-service, IT operations, knowledge-management, and workflow-automation use cases • Create Tableau and Power BI visualizations, executive reporting, dashboards, KPIs, and measurement frameworks • Collaborate with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers • Complete relevant Anthropic partner enablement, technical training, and product education as available • Travel to clients and conferences as needed

🎯 Requisitos

• 10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases • Strong coding expertise in Python and SQL • Hands-on experience with TensorFlow, PyTorch, and Scikit-learn • Experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions • Understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns • Hands-on experience with prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation • Proficiency with Pandas, NumPy, Matplotlib, and Seaborn • Hands-on experience with AWS, Azure, and/or Google Cloud • Experience with Apache Spark and Snowflake • NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies • Understanding of database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices • Experience with Tableau and Power BI • Knowledge of responsible AI practices, privacy, security, human oversight, hallucination mitigation, prompt-injection defenses, model limitations, and governed deployment • Strong analytical, architectural, problem-solving, communication, and stakeholder-management skills • Ability to collaborate across client, consulting, engineering, product, data, and AI/ML teams • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Engineering, or a related technical field; equivalent relevant experience will also be considered • Travel to clients and conferences as needed

🏖️ Benefícios

• Diverse and inclusive workplace • Equal opportunity workplace and affirmative action employer • Disability accommodation support