Apps & AI Solution Architect

Full Job Description

Solution Architecture & Design Define end-to-end architecture for enterprise applications, AI solutions, and intelligent agents. Lead solution design across business applications, custom applications, data platforms, integrations, and AI services. Create architecture blueprints, reference architectures, target state roadmaps, and implementation strategies. Evaluate architectural trade-offs, technical risks, and technology selection decisions. Ensure alignment with enterprise architecture standards and governance frameworks. Design AI-first and agentic business solutions using Generative AI, AI Agents, and Copilot technologies. Architect multi-agent orchestration patterns and AI-powered workflows. Design Retrieval Augmented Generation (RAG), vector databases, semantic search, and knowledge grounding capabilities. Establish AI observability, monitoring, evaluation, and continuous improvement practices. Architect cloud-native applications using microservices, APIs, event-driven architectures, and serverless patterns. Design modern web, mobile, and omnichannel application solutions. Design enterprise data platforms supporting AI and analytics workloads. Architect integration solutions spanning SaaS, PaaS, on-premises, and partner ecosystems. Enable real-time data processing and intelligent automation capabilities. Ensure solutions meet enterprise security, privacy, and regulatory requirements. Design identity, access management, and Zero Trust controls. Establish AI security controls including prompt protection, model governance, data residency, and auditability. Perform architecture risk assessments and mitigation planning. Facilitate architecture workshops and executive decision-making sessions. Build business cases, ROI models, and transformation plans. Cloud & Infrastructure Azure Landing Zones Cloud Native Architecture Containers and Kubernetes Serverless Computing Hybrid and Multi-Cloud Patterns Act as technical leader for complex transformation programs. Mentor architects, engineers, and consultants. Build reusable patterns, accelerators, and reference architectures. Drive architecture governance and technical quality reviews. Influence customer executives and senior stakeholders. Contribute to practice development and thought leadership. Lead innovation and adoption of emerging AI capabilities. Required 10+ years of enterprise application and solution architecture experience. 5+ years of cloud architecture experience. Experience delivering large-scale digital transformation programs. Experience designing and implementing AI-enabled business solutions. Strong stakeholder management and executive communication skills. Experience leading cross-functional architecture and engineering teams. Enterprise architecture certification. Azure Solutions Architect certification. Azure AI Engineer certification. Copilot Studio and Agentic AI experience. Experience in regulated industries such as Financial Services, Manufacturing, Energy, Healthcare, or Public Sector.

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