Centrilogic

Solutions Engineer

• Design cloud, AI and data architectures using the Microsoft stack from Azure infrastructure and networking through analytics and AI
• Architect Azure landing zones, subscription and identity designs, IaaS and PaaS migration patterns, resiliency, disaster recovery and cost control
• Design Azure networking topologies, connectivity, firewalls, segmentation, private endpoints and Private DNS
• Design AI solutions using Azure AI Foundry, Azure OpenAI, Microsoft 365 Copilot and Copilot Studio, including agentic, RAG and multi-model patterns
• Show clients how Microsoft Fabric and the wider Azure data estate support AI readiness through lakehouse, warehouse, Power BI and governance patterns
• Incorporate Power Platform for workflow automation and reporting
• Apply responsible AI practices covering content safety, data governance, model transparency and compliance
• Size and scope engagements using ROM estimates and structured discovery
• Advise clients on project delivery versus ongoing managed services across infrastructure, security and AI operations
• Act as senior technical advisor to sales leadership, account teams and client stakeholders throughout the sales cycle
• Hold discovery workshops and current-state assessments
• Translate solutions into business terms, value narratives, ROI models and executive presentations
• Advise clients on AI governance and productionizing AI workloads
• Work with Account Executives to build and advance opportunities
• Own technical responses for RFPs, competitive deals and executive briefings
• Write proposals, effort estimates, pricing models and SOWs through review
• Build proofs of concept and demos for client use cases
• Develop business cases for cloud, AI, data and managed services
• Use network and industry profile to open doors and generate pipeline
• Collaborate with SMEs across cloud, data, security, ERP and managed services
• Validate designs with delivery and implementation teams before proposals and remain involved at kickoff
• Peer review proposals for accuracy, scope integrity and delivery fit
• Improve the practice through reusable assets, internal enablement and reusable intellectual property
• Lead qualified-opportunity discovery within the first 90 days
• Own the technical narrative on pursuits by six months, contributing to win rate and deal progression
• Produce executable proposals and SOWs and scalable reusable assets on an ongoing basis

Presales Solutions Architect