Senior Solutions Architect - Azure AI & Data
Senior Solutions Architect - Azure AI & Data
Posted 3 days ago
SENIORITY
Lead
About the role
- Act as a senior technical resource on our most complex engagements — architecture, design authority, and hands-on build work.
- Lead AI and data engagements end to end: solution design, grounding and data access, security and governance, evaluation, and the path from pilot to production.
- Set the delivery standard: documentation, reusable IP, quality bar, and what “done” means on an engagement.
- Take the small things too. Nothing here is beneath the role — writing the runbook, cleaning up the tenant, sitting on the bridge at 11 p.m., fixing the diagram before it goes to the client.
- Recover troubled engagements when they need a senior technical presence.
- Raise the level around you
- Bring the rest of the team along as you go — design reviews, pairing on the hard parts, and making your patterns reusable rather than personal.
- Help us decide what to sell next. You’ll see the demand before anyone else does, and we want your read on what we should build, productize, or stop offering.
- Where the lines are
- Project management. The PM owns scope, schedule, budget, and client communication. That doesn’t let you off the hook — stay aware of all of it, and help carry it when the engagement needs it. We are a collaborative team.
- Support queue. Managed services has its own escalation path. You’re the last stop on hard problems, not the first stop on all of them.
- Deal administration. You help define and shape the technical story, the scope, and the estimate. The AE owns the quota, the CRM, and the commercial process.
- People management. You won’t have direct reports, and you won’t own staffing or the bench. Your influence comes from what you build and from people wanting to work alongside it. That being said, we are a fast-growing team, and having the desire to move into a “Lead” role is what we are looking for.
- Microsoft expert-level certification (AZ-305, AZ-400, SC-100, or equivalent), or associate-level certifications in AI, data and analytics, or Power Platform.
- Experience in a Microsoft partner environment, particularly one carrying multiple solution partner designations.
- Experience defining and launching a service offering from scratch.
- Evidence that people have gotten better at their jobs working alongside you.
- Background across both mid-market and enterprise clients.
- Live in Texas, South Carolina, California, Minnesota, Idaho, Colorado, or Illinois
- The landscape you’d be working inThis is the ground the practice covers. It’s a map, not a checklist — AI and data are where we need you most.
- AI — Azure OpenAI, Azure AI Foundry, Azure AI Search, generative AI and machine learning, RAG, agentic patterns, and Copilot extensibility.
- Data and analytics — Microsoft Fabric, OneLake, Synapse, Data Factory, Databricks, Power BI, Purview, and lakehouse or medallion patterns.
- Application development and modernization — App Service, Container Apps, AKS, Azure Functions, API Management, Logic Apps, .NET, Microsoft Graph, and CI/CD with Azure DevOps or GitHub Actions.
- Cloud platform — landing zones, networking, Entra ID, governance, IaC (Bicep or Terraform), AKS, Azure Arc, security, and cost management.
- How we’ll know it’s working
- Pipeline is sourced or materially shaped by you, and the win rate on it is evident.
- Whether the work you scoped delivers to that estimate — you own both the number and the follow-through that makes it hold.
- Client outcomes and repeat business on engagements you led.
- Tracked revenue from AI and data engagements, growing year over year.
- Remote workplace with limited travel
- Health/Dental/Vision Coverage 401k Matching
- Flexible time off
- Investment in certifications, training, and lab environments
Before you apply
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
