Remote | New England Preferred | Rhode Island Onsite Once per Month Preferred
Note to Staffing Agencies and Recruiting Firms
Please do not contact us regarding this position. We are not accepting third-party agency submissions or recruiting services for this role.
Position Overview
Spyglass MTG is seeking a mid-level Azure AI & Data Solution Architect to join our Microsoft-focused consulting team.
We are open to candidates whose experience is primarily in Data, Artificial Intelligence, or Azure Infrastructure. You do not need to be an expert across all three areas. We are especially interested in candidates who have a strong technical foundation in one or more of these areas and are excited to learn, grow, and expand their skills across the broader Azure AI, Data, and Infrastructure ecosystem.
This is a great opportunity for someone who enjoys hands-on technical work, solving client problems, developing Proofs of Concept (PoCs), and continuing to build their Microsoft Azure expertise.
Engagement Details
• Engagement Type: Full-time contract, C2C or W-2 hourly/temporary
• Expected Commitment: 40 hours per week, Monday through Friday
• Location: Remote
• Preferred Location: Massachusetts, New Hampshire, Connecticut, Rhode Island, or Maine
• Time Zone: Eastern Time preferred
• Onsite: Ability to be onsite in Rhode Island approximately once per month is preferred
• Initial Term: Three months, with potential to extend
What You'll Do
• Work with clients to understand business and technical requirements and help translate them into practical Azure solutions.
• Design and build solutions using Microsoft Azure technologies across AI, Data, and Infrastructure.
• Develop Proofs of Concept to demonstrate potential solutions using Python, C#, or other relevant technologies.
• Gain hands-on experience with technologies such as Microsoft Foundry, Microsoft Fabric, Azure Databricks, Azure AI services, and Microsoft Copilot.
• Work with experienced architects, engineers, and subject matter experts to develop solutions that meet client needs.
• Participate in client discussions, technical discovery sessions, solution design, and project delivery.
• Help 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 knowledge-sharing activities such as technical demonstrations, webinars, blog posts, and internal learning sessions.
• Continue expanding your knowledge across Azure AI, Data, and Infrastructure technologies.
We are looking for someone with a solid technical foundation who is ready for the next step in their career.
You may be a strong fit if your background is primarily in one or more of the following:
Azure Data
Experience or familiarity with technologies such as:
• Microsoft Fabric
• Azure Databricks
• Azure SQL
• Data engineering
• Data pipelines and integration
• Analytics and reporting
• Data architecture
Azure AI
Experience or familiarity with technologies such as:
• Azure AI services
• Microsoft Foundry
• Azure OpenAI
• Large Language Models (LLMs)
• Microsoft Copilot
• Azure AI Search
• Prompt engineering
• LangChain
• Prompt flow
• AI application development
Azure Infrastructure / Cloud
Experience or familiarity with technologies such as:
• Microsoft Azure
• Cloud infrastructure
• Azure networking
• Identity and access management
• Application hosting
• Azure security
• Cloud architecture
• Infrastructure as Code or DevOps practices
You do not need experience with everything listed above.
We strongly encourage candidates who are experienced in Data, AI, or Infrastructure to apply if they are interested in developing skills across the other areas.
Additional Qualifications
• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• Experience working with Microsoft Azure technologies.
• 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 your primary area of expertise.
Why Spyglass MTG?
• Exclusive focus on Microsoft technologies for more than 12 years
• 90% of our business comes from repeat customers
• 80% of our new business comes through Microsoft
• Five Microsoft Solutions Partner badges and 10 Advanced Specializations
• Member of Microsoft's Partner Advisory Council for Data and AI
• Microsoft Fabric Voice member
You do not need to check every box. If you have a strong foundation in Azure Data, AI, or Infrastructure and are excited about learning the other areas, we encourage you to apply.