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.
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