Azure AI & Data Solution Architect

Vaga não está no LinkedIn

🕒 4 dias atrás

🦌 Connecticut, Maine, +3 estados a mais – Remoto

🦌 Connecticut – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🍂 Massachusetts – Remote ⚓ Rhode Island – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

👻 Score fantasma 12%

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.Por que essa pontuação:

• Aberta há 4 dias.
• As vagas desta empresa costumam ser preenchidas em 34 dias.
• Sem salário divulgado.

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Spyglass MTG, LLC.

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51 - 200 funcionários

Fundada em 2018

💼 Consultoria

🤖 Inteligência Artificial

🏢 Corporativo

Consulting • Artificial Intelligence • Enterprise

A Spyglass MTG, LLC é uma empresa de consultoria certificada com foco em Microsoft, que ajuda organizações a selecionar, projetar, implementar, migrar para e gerenciar tecnologias Microsoft. Suas ofertas abrangem AI (Agentic AI, AI Navigator e Copilot), plataformas de dados (incluindo o Microsoft Fabric LOOM), governança de dados, segurança e gerenciamento de identidade e acesso, soluções de cloud, operações de infraestrutura, modernização de aplicações e migrações, além de serviços de licenciamento Microsoft. A Spyglass atende clientes corporativos de setores como ensino superior, serviços financeiros, saúde, jurídico, manufatura e petróleo e gás. A empresa também se destaca pela rápida implementação de AI, pela recorrência de seus clientes e pela capacitação em Copilot e Power Platform.

Descrição

• Work with clients to understand business and technical requirements and translate them into practical Azure solutions • Design and build solutions using Microsoft Azure technologies across AI, Data, and Infrastructure • Develop Proofs of Concept using Python, C#, or other relevant technologies • Gain hands-on experience with Microsoft Foundry, Microsoft Fabric, Azure Databricks, Azure AI services, and Microsoft Copilot • Collaborate with architects, engineers, and subject matter experts to develop client solutions • Participate in client discussions, technical discovery sessions, solution design, and project delivery • Develop reusable technical solutions, accelerators, and Azure Marketplace offerings • Learn and apply AI development lifecycle tools such as GitHub Copilot • Stay current with emerging Microsoft Azure, AI, and Data technologies • Contribute to technical demonstrations, webinars, blog posts, and internal learning sessions • Expand knowledge across Azure AI, Data, and Infrastructure technologies

🎯 Requisitos

• Mid-level Azure AI & Data Solution Architect profile • Strong technical foundation primarily in Data, Artificial Intelligence, or Azure Infrastructure • Experience working with Microsoft Azure technologies • Familiarity with Microsoft Fabric, Azure Databricks, Azure SQL, data engineering, data pipelines and integration, analytics and reporting, or data architecture • Familiarity with Azure AI services, Microsoft Foundry, Azure OpenAI, Large Language Models (LLMs), Microsoft Copilot, Azure AI Search, prompt engineering, LangChain, Prompt flow, or AI application development • Familiarity with cloud infrastructure, Azure networking, identity and access management, application hosting, Azure security, cloud architecture, Infrastructure as Code, or DevOps practices • Bachelor's degree in Computer Science or a related field, or equivalent practical experience • Ability to develop or contribute to technical Proofs of Concept • Programming or scripting experience, ideally with Python, C#, or similar languages • Interest in Generative AI, Microsoft Copilot, and emerging AI technologies • Understanding of responsible and ethical AI practices • Strong problem-solving and communication skills • Comfortable working directly with clients and collaborating with technical teams • Curious, motivated, and willing to learn technologies outside the primary area of expertise • Ability to work 40 hours per week, Monday through Friday • Eastern Time preferred • Ability to be onsite in Rhode Island approximately once per month is preferred

🏖️ Benefícios

• Full-time contract engagement • C2C or W-2 hourly/temporary arrangement • 40 hours per week, Monday through Friday • Remote work • Potential contract extension after the initial three-month term • Opportunity to work with experienced architects, engineers, and subject matter experts • Hands-on experience with Microsoft Azure, AI, Data, and Infrastructure technologies • Knowledge-sharing opportunities including technical demonstrations, webinars, blog posts, and internal learning sessions

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