Enterprise Architect

Job Description

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• Define enterprise architecture for AI/GenAI-powered applications and platforms .
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• Design solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases, prompt engineering, and AI agents .
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• Architect hybrid search solutions combining vector search, keyword search, metadata filtering, and semantic retrieval .
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• Design AI workflows that integrate enterprise data, business rules, APIs, and decision engines.
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• Establish patterns for AI governance, security, explainability, observability, evaluation, and responsible AI.
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• Evaluate emerging AI technologies and determine their applicability to enterprise use cases.
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• Design scalable LLM integration patterns supporting multiple models and model providers.
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Java & Distributed Systems

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• Lead architecture and development of highly scalable Java/J2EE and Spring Boot applications.
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• Define standards and reference architectures for microservices, REST APIs, event-driven architecture, and distributed systems .
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• Design highly available and fault-tolerant services capable of supporting high-volume transaction environments.
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• Provide technical leadership in areas including concurrency, performance optimization, caching, resiliency, and distributed transactions.
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Establish reusable Java frameworks, libraries, design patterns, and engineering standards.