Sr. Cloud Solution Architect - AI & Apps

Engage with customer IT and business leaders to understand their application, data, and AI priorities, and design secure, scalable solutions that drive business value and customer satisfaction. Lead technical engagements across architecture design, Proof of Concepts (POCs), and Minimum Viable Products (MVPs) to accelerate adoption of Azure AI, App Services, GitHub, and data platforms. Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM. Drive next best actions and generate incremental pipeline from each engagement, aligning with Unified Enterprise Support (ES) priorities. Deliver repeatable intellectual property (IP) and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes. Provide delivery oversight and escalation support for key Factory engagements across AI and App Innovation projects. Lead the health, resiliency, security, and optimization of mission-critical workloads, ensuring readiness for production-scale AI use cases. Act as the Voice of the Customer by sharing insights and feedback with engineering teams to influence product improvements and remove adoption blockers. Support customer skilling through technical workshops, readiness activities, and recommendations that ensure solution performance, maintainability, and reliability. Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities. Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Azure AI Foundry, AKS, App Service, Cosmos DB, Azure SQL, PostgreSQL, APIM, and GitHub. Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes. Hands-on experience with open-source LLMs such as Llama, Mistral, DeepSeek, Qwen, and Gemma for building enterprise-grade GenAI solutions. Design and implementation of RAG (Retrieval Augmented Generation) architectures using LangChain, LlamaIndex, vector databases (Milvus, Weaviate, pgvector), and enterprise knowledge sources. Building AI agents and agentic workflows using LangGraph, CrewAI, AutoGen, and MCP (Model Context Protocol) with integration into enterprise applications and business processes. Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience 8+ years experience working in a customer-facing role (e.g., internal and/or external). 8+ years experience working on technical projects Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)