Architect, Enterprise AI

🕒 Agosto 6

🐻 Alaska, Hawaii, +11 estados a mais – Remoto

🐻 Alaska – Remote 🌺 Hawaii – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🌾 North Dakota – Remote 🎸 Mississippi – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🦬 Wyoming – Remote

💵 $124.140 - $170.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Suporte de TI

👻 Score fantasma 0%

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.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Navitus Health Solutions

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2003

💼 Consultoria

🛡️ Seguros

🏥 Saúde

Consulting • Insurance • Healthcare

Microsoft 365 é uma suíte de aplicativos de produtividade baseada em nuvem, desenvolvida para pessoas, famílias, empresas e instituições de ensino. Inclui ferramentas populares como Word, Excel, PowerPoint, Outlook e Teams, permitindo criar, colaborar e compartilhar documentos e dados de forma contínua entre dispositivos. O Microsoft 365 aumenta a produtividade com recursos como o Microsoft Copilot, que integra capacidades de IA para auxiliar nas tarefas do dia a dia, garantindo o armazenamento e a organização seguros dos arquivos e facilitando o trabalho em equipe e a comunicação eficaz.

Descrição

• Define and maintain the enterprise AI architecture strategy, standards, and reference architectures for scalable adoption of AI, generative AI, and agentic AI. • Establish enterprise AI architecture patterns for generative AI, agentic workflows, RAG, model orchestration, and enterprise AI service integration. • Develop and implement AI governance frameworks and architectural guardrails for responsible, secure, and compliant AI use. • Evaluate and recommend AI platforms, large language model providers, orchestration frameworks, and supporting tooling. • Define AI integration patterns connecting AI capabilities with enterprise platforms, APIs, data platforms, and cloud services. • Define and promote Agentic AI patterns for workflow orchestration, tool integration, memory/context management, and human-in-the-loop capabilities. • Ensure Responsible AI and regulatory compliance, including data privacy, auditability, model transparency, and ethical AI practices. • Define AI operations standards covering model lifecycle management, monitoring, observability, deployment pipelines, and operational controls. • Establish AI security and cost-management practices for secure model access, data protection, usage controls, and infrastructure optimization. • Collaborate with Enterprise Architecture, Platform Engineering, Data Engineering, and Product teams to guide AI adoption and solution architecture decisions. • Perform other duties as assigned.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field, or equivalent work experience, required. • 10+ years of experience in software development or architecture, including a minimum of 5 years focused on Artificial Intelligence and Machine Learning technologies, required. • Experience defining enterprise AI architecture patterns, model integration, orchestration frameworks, and AI-enabled application design within cloud or distributed systems. • Experience establishing or supporting AI governance frameworks, responsible AI practices, regulatory compliance, model lifecycle oversight, and enterprise guardrails. • Experience defining AI platform strategies, including evaluation and selection of enterprise AI platforms, large language models, and supporting tooling. • Experience designing AI integration patterns connecting AI capabilities with enterprise platforms, APIs, data platforms, and cloud services. • Experience implementing or guiding MLOps/LLMOps practices, including model deployment, monitoring, lifecycle management, and operational governance. • Experience addressing AI security, privacy, and cost management, including secure model access and sensitive-data protection. • Experience collaborating with enterprise architecture, engineering, data, and product teams. • Experience interviewing end-users regarding functionality, interfaces, problems, and usability issues. • Advanced development skills in multiple modern languages, including C#, React, and Python. • Participate in, adhere to, and support compliance program objectives. • Ability to interact cooperatively and respectfully with other employees. • AWS Certified Solutions Architect Professional certification preferred. • AWS Certified Machine Learning – Specialty certification preferred. • Responsible AI / AI Governance certification preferred. • Industry-recognized Certified AI Professional or equivalent AI/ML certification preferred. • Knowledge of PBM systems, claims adjudication processes, and payer/provider/pharmacy data exchange patterns preferred.

🏖️ Benefícios

• STAR Bonus % (At Risk Maximum) 5.00 • Health insurance • Dental insurance • Vision insurance • 20 days paid time off • 4 weeks paid parental leave • 9 paid holidays • 401K company match of up to 5% - No vesting requirement • Adoption Assistance Program • Flexible Spending Account • Educational Assistance Plan • Professional Membership assistance • Referral Bonus Program – up to $750!