Ai Solutions Architect

AI Solutions Architect

Responsibilities

• Design and deliver scalable, production-ready enterprise solutions with a strong focus on AI-driven architectures and Microsoft platforms.
• Provide technical leadership for complex AI agent ecosystems while strengthening governance, delivery quality, and architectural maturity across teams.
• Translate enterprise architectural principles and roadmaps into detailed, scalable solution designs that support active initiatives.
• Design and document end-to-end architectures including integration, deployment, security, and non-functional requirements.
• Lead implementation of enterprise AI agent systems and modern integration patterns across ERP, CRM, data platforms, and custom applications.
• Define and standardize API, data flow, and integration approaches while modernizing legacy interfaces.
• Prepare architectural option analyses, present recommendations to governance forums, and document approved decisions.
• Support innovation initiatives, including AI, automation, and Cloud-native solutions, translating pilot outcomes into reusable standards and patterns.
• Partner with Engineering, Product, QA, Security, and Operations teams to ensure solutions are secure, scalable, testable, and operable.
• Mentor engineers and emerging architects to strengthen architectural discipline and solution quality.
• Promote delivery excellence by improving coding standards, DevOps pipeline alignment, risk mitigation, and overall implementation quality.

Requirements

• Demonstrated experience designing and delivering complex enterprise solutions with strong integration and non-functional design expertise.
• Proficiency in C#/.NET, REST APIs, Angular, SQL, X++, Git, and Azure DevOps build and release pipelines.
• Experience with modern Cloud and data platforms including Microsoft Fabric, Power Platform, Synapse, and Azure-based services.
• Working knowledge of Python or similar back-end technologies and applied AI platforms.
• Solid understanding of enterprise systems architecture, relational data modeling, and integration patterns.
• Experience operating within Agile environments and leading large-scale, cross-functional initiatives.
• Excellent communication, stakeholder facilitation, and organizational skills.