Senior/Lead Forward Deployed AI Engineer/Architect – Copilot/Azure

🕒 Outubro 27

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 10%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.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

• Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations in client ServiceNow and enterprise environments • Translate customer requirements and desired outcomes into technical architectures, implementation plans, and production-ready AI solutions • Implement Agent Packs, AI accelerators, and workflow solutions • Tailor AI solutions to customer operating models, processes, data, security requirements, and user needs • Support workshops, discovery sessions, demonstrations, pilots, and production rollouts • Build enterprise AI applications using Claude, the Anthropic API, and other LLM platforms • Apply prompt and context engineering, structured outputs, tool use, API integrations, orchestration, and human-in-the-loop patterns • Build RAG solutions grounded in authorized enterprise data • Develop demos, prototypes, proof-of-concepts, reusable implementation patterns, prompt libraries, integrations, and deployment assets • Develop secure integrations between ServiceNow, enterprise systems, APIs, data platforms, and AI services • Build scripts, microservices, automation logic, integration services, and lightweight user interfaces • Evaluate AI quality, reliability, safety, latency, cost, and user experience • Implement safeguards for sensitive data, permissions, prompt injection, unsafe tool use, and unintended model behavior • Monitor and improve deployed solutions based on feedback, performance data, incidents, and customer needs • Contribute to NewRocket Intelligence Platform, Value Realization Dashboard, Data Intelligence Platform, and Agent Packs • Diagnose and resolve issues across AI workflows, integrations, retrieval pipelines, data connections, and automation processes • Optimize systems for reliability, performance, latency, model usage, and cost efficiency • Collaborate with Business Process Consultants, Product Engineering, Data Engineers, AI/ML Engineers, ServiceNow teams, and the AI Center of Excellence • Deploy autonomous and human-in-the-loop agents using Microsoft Copilot Studio, Azure AI Foundry, and related Microsoft technologies • Develop multi-agent solutions with orchestration, tool calling, contextual memory, and workflow coordination

🎯 Requisitos

• 8+ years of experience in software engineering, systems integration, enterprise platforms, workflow automation, or related technical delivery roles • Hands-on experience in full-stack development, scripting, APIs, microservices, enterprise integrations, or cloud-native applications • Experience building, deploying, or supporting AI/LLM-powered applications, AI-enabled automations, conversational experiences, RAG systems, or agentic workflows • Experience integrating APIs, enterprise applications, data platforms, or workflow systems in production environments • Experience with Power Automate and Power BI • Proficiency in JavaScript/TypeScript, Python, or similar programming and scripting languages • Familiarity with prompt engineering, context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation • Understanding of responsible AI concepts, sensitive-data handling, identity and access controls, human oversight, AI safety, and secure AI deployment • Experience in customer-facing engineering, consulting, technical implementation, solutions architecture, or professional-services roles • Ability to manage ambiguity, prioritize effectively, travel to clients as needed, and deliver high-quality solutions in fast-moving customer environments • Experience with Microsoft Copilot Studio, Azure AI Foundry, Azure AI Search, vector databases, Python, C#, TypeScript, Jira, Confluence, SmartSheet, and AI orchestration frameworks • ServiceNow experience is a strong plus, including development, configuration, workflow automation, scripting, APIs, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, CMDB, ITSM, CSM, HRSD, knowledge management, and enterprise integrations • Preferred familiarity with Model Context Protocol (MCP) • Familiarity with Docker, CI/CD, SQL, Git, infrastructure-as-code, and secure cloud deployment practices

🏖️ Benefícios

• Diverse and inclusive workplace • Equal opportunity workplace and affirmative action employer • Disability accommodations available upon request • Remote work arrangement • Travel opportunities to client sites

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