CentriLogic

CentriLogic

AI and Applications Development Presales Solution Architect

Canada

Sponsorship not specifiedDetected 31 days ago
PythonC#FastAPIFlask.NETGitSQLMongoDBVector DatabasesAzureTerraformCI/CDGitHub ActionsDevOpsRESTMachine LearningData VisualizationLLMsRAGAgentic AILLMOpsMLOpsCRMSales

About the role

  • The AI and Applications Development Presales Solution Architect is a senior, client-facing role that sits at the intersection of Microsoft AI, custom application development, and enterprise sales.
  • As the primary technical voice in AI and app dev engagements, you will translate complex client challenges into compelling, commercially viable solutions built on Azure AI, Microsoft AI Foundry, Copilot Studio, and modern.NET/Python application platforms.

Responsibilities

  • orchestration, evaluation, model hub, and multi-model pipeline design.
  • Design end-to-end AI and application architectures that address client business challenges using Microsoft's AI and developer platform stack.
  • Design custom application solutions using.NET/C#, Python (FastAPI), Azure PaaS services, and relevant APIs - spanning net-new builds, modernization, and integration scenarios.
  • Apply Responsible AI principles - including content safety, data governance, model transparency, and compliance - throughout every solution design.
  • Partner with Account Executives to develop and advance client opportunities, providing technical credibility and strategic recommendations.
  • Own the technical narrative in RFP responses, competitive engagements, and executive briefings.
  • Design and deliver proof-of-concepts (POCs) and live demonstrations that illustrate measurable AI and application outcomes for specific client use cases.
  • Build business cases and articulate the value proposition of CentriLogic's AI, application development, and managed services capabilities.

Requirements

  • You are a self-starter, a natural problem solver, and someone who brings energy, curiosity, and conviction into every client conversation.
  • Education
  • University degree in Computer Science, Software Engineering, or equivalent technical discipline.
  • Experience
  • 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

Nice to have

  • equally fluent with C-suite stakeholders and technical architects.
  • Ability to travel within the Greater Toronto Area, nationally, and to the United States as required.
  • Additional Qualifications (Nice to Have)
  • Experience or knowledge in solutioning and/or delivering any of the following is considered an asset
  • Microsoft Ecosystem Depth
  • Microsoft 365 Copilot - adoption, governance, and extensibility (Teams, SharePoint, Outlook plugins).
  • Microsoft Purview - data governance, compliance, and AI observability.
  • Microsoft Sentinel and Defender for Cloud - security-aware architecture for AI workloads.

Skills

  • AI Platform & Architecture
  • Azure OpenAI Service: model selection, deployment, prompt engineering, fine-tuning, and responsible use.
  • Copilot Studio: designing and deploying enterprise AI agents, custom connectors, and plugin architectures.
  • RAG (Retrieval-Augmented Generation) architectures: vector databases (Azure AI Search, Cosmos DB), embeddings, chunking strategies.
  • Model Context Protocol (MCP) and Agent-to-Agent (A2A): modern interoperability standards for agentic AI.
  • Responsible AI practices: content safety, data governance, fairness, model transparency, and regulatory compliance.
  • Application Development & Architecture
  • Custom application development using C#/.NET (ASP.NET Core, Azure Functions, Web APIs) and/or Python (FastAPI, Flask).
  • Azure PaaS services: App Services, Azure Functions, API Management, Azure Container Apps, AKS.
  • Integration architecture: REST APIs, event-driven patterns (Azure Service Bus, Event Grid), Logic Apps, and hybrid connectivity.
  • Microsoft Power Platform: Power Apps, Power Automate, and Power BI for low-code automation and analytics.
  • DevOps and CI/CD: Azure DevOps, GitHub Actions, infrastructure-as-code (Bicep/Terraform).
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This listing is sourced directly from CentriLogic's careers page and normalized into a canonical job model.