AI Applications Development Presales Solution Architect

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Centrilogic

51 - 200 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

💰 Private Equity Round on 2018-06

Enterprise • SaaS • Cybersecurity

Centrilogic is a global provider of end-to-end IT transformation solutions, helping organizations realize their digital potential. They offer services including digital advisory and strategy, application development and optimization, cloud solutions, data and AI-driven insights, managed infrastructure, and cybersecurity. Centrilogic partners with leading technology platforms to deliver scalable and secure IT services tailored to meet industry-specific needs, enabling businesses to innovate and thrive. With a focus on custom solutions, Centrilogic helps enterprises navigate complex technology challenges and drive business growth through smart technology adoption.

📋 Description

• 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

🏖️ Benefits

• Professional development opportunities

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