Solution Architect

Overview Client is seeking a hands-on Solution Architect to lead the design and delivery of enterprise-grade Generative AI solutions. This role will drive architecture for the Enterprise GenAI Platform, chatbot use cases, and cloud-native AI applications built on Azure, AWS, and container technologies.

Key Responsibilities:

Lead architecture and technical design for GenAI solutions across the enterprise. Build cloud-native systems using Azure, AWS, Kubernetes/AKS/EKS, containers, and microservices patterns. Architect and guide development of LLM/RAG pipelines, embeddings, vector/hybrid search, and metadata processing. Support delivery of GenAI-enabled applications. Partner with cross functional teams to align on architecture, integration patterns, and standards. Provide hands-on oversight across DevOps, APIs, connectors, and pipeline execution. Ensure designs meet enterprise security, governance, and operational requirements.

Required Experience:

12+ years in solution architecture and full-stack engineering. Strong hands-on experience with Azure and/or AWS cloud services. Expertise in containers, Kubernetes, and cloud-native application patterns. Practical experience designing Generative AI solutions using LLMs, RAG, embeddings, chunking, and search technologies. Proficiency in Python, Node.js, or Java, API development, and event-driven architectures. Familiarity with integrations like SharePoint/Blob connectors, Azure Search, metadata pipelines, and enterprise systems. Preferred Experience delivering enterprise AI chatbots and multi-use-case GenAI platforms. Knowledge of AI governance, security, and responsible AI practices. Ability to influence cross-functional teams and lead complex technical discussions.