Azure AI & Data Solution Architect

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🔥 5 minutes ago

🦌 Connecticut, Maine, +3 more states – Remote

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

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Spyglass MTG, LLC.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

Consulting • Artificial Intelligence • Enterprise

Spyglass MTG, LLC is a certified Microsoft-focused consulting firm that helps organizations select, architect, implement, migrate to, and manage Microsoft technologies. Their offerings emphasize AI (Agentic AI, AI Navigator, Copilot), data platforms (including Microsoft Fabric LOOM), data governance, security and identity/access management, cloud solutions, infrastructure operations, app modernization, and migrations, plus Microsoft licensing services. Spyglass serves enterprise clients across sectors such as higher education, financial services, healthcare, legal, manufacturing, and oil & gas, and highlights rapid AI deployment, repeat customers, and Copilot/Power Platform enablement.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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