Azure AI & Data Solution Architect

Spyglass MTG, LLC.

. Work with clients to understand business and technical requirements and translate them into practical Azure solutions .

Posted 11/6/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building Azure solutions, particularly in AI and Data technologies, while effectively collaborating with clients and technical teams. Proficient in developing Proofs of Concept and utilizing Microsoft Azure tools and services to deliver innovative solutions.

Highest-signal resume keywords

Azure AI & Data Solution ArchitectMicrosoft Azure TechnologiesPython ProgrammingData EngineeringAI Application Development

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Hard Skills

PythonC#Data PipelinesData ArchitectureAzure DatabricksMicrosoft FabricAzure SQLAzure AI ServicesInfrastructure as CodeDevOps Practices

Soft Skills

Problem-SolvingCommunicationCollaborationCuriosityMotivation

Tools & Technologies

Microsoft FoundryAzure OpenAIAzure AI SearchGitHub CopilotLangChain

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Artificial IntelligenceCloud InfrastructureAzure NetworkingIdentity and Access ManagementAzure Security

Tech Stack

Tools & technologies

AzureCloudPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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