AI and Applications Development Presales Solution Architect at Centrilogic designing solutions using Microsoft AI and custom application development. Collaborating with sales leadership to drive client engagements.
Responsibilities
Design end-to-end AI and application architectures that address client business challenges using Microsoft's AI and developer platform stack.
Architect solutions leveraging Azure OpenAI, Microsoft AI Foundry, Copilot Studio, Semantic Kernel, and Microsoft Agent Framework.
Design custom application solutions using .NET/C#, Python (FastAPI), Azure PaaS services, and relevant APIs.
Incorporate Microsoft Power Platform (Power Apps, Power Automate, Power BI) into solution designs where workflow automation and business intelligence are required.
Apply Responsible AI principles throughout every solution design.
Size and scope engagements accurately using rough-order-of-magnitude (ROM) estimation and structured discovery frameworks.
Act as a senior technical advisor to sales leadership, account teams, and client stakeholders across all stages of the sales cycle.
Lead discovery workshops, current-state assessments, and solution ideation sessions to surface the right problem before proposing a solution.
Maintain deep, current knowledge of the Microsoft AI and developer ecosystem.
Advise clients on responsible AI adoption, governance frameworks, and readiness for production AI workloads.
Requirements
University degree in Computer Science, Software Engineering, or equivalent technical discipline.
7+ years of experience in software/application architecture, cloud solutions engineering, or technical consulting.
3+ years in a presales, solution architecture, or customer-facing advisory role.
Demonstrated experience designing and delivering AI-powered solutions — including LLM-based applications, RAG pipelines, AI agents, or Copilot integrations — in enterprise contexts.
Hands-on experience with custom application development using .NET/C# and/or Python, deployed on Azure PaaS or containerized infrastructure.
Proven ability to lead discovery workshops, write proposals, size engagements, and deliver executive-level presentations.
Track record of successfully winning and advancing deals in a consultative, technical presales capacity.
Certifications Required (or to be achieved within 6 months of hire): Microsoft Certified: Azure AI Engineer Associate (AI-102)
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
Preferred: Microsoft Certified: Agentic AI Business Solutions Architect
Microsoft Certified: Azure Developer Associate (AZ-204)
GitHub Foundations or GitHub Copilot certification
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