Job Details

Hybrid3days a week

Job Description

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.