解决方案架构师
Solution Architect
我们正在寻找一个经验丰富，实践丰富的解决方案架构师，拥有10多年的设计和提供可扩展的企业级框架和基础服务方面的专业知识，以支持分析应用程序和下一代生成 AI (GenAI) 解决方案。位置：夏洛特关键责任：·领导并指导工程师团队在设计和开发基础框架和基础设施来支持先进的分析和 GenAI 解决方案。·建筑师和实施可扩展，可重复使用的基础设施组件数据处理，集成以及整个企业的 AI/ML 倡议。· 定义和推动分析应用和 GenAI 模型的集成战略，包括大语言模式 (LLM) 和代理人工智能在内的核心企业系统和框架中。· 与平台，数据和 ML 团队合作，以确定数据管道和基础设施进行模型培训，部署和监测，重点放在分析和 GenAI 上。·确保解决方案技术强，符合企业架构，并满足可扩展性，性能和可靠性的要求。·积极参与使用 Java,Python,JavaScript,Scala,Pyspark,Spark 和雪花板的高性能应用程序设计，开发和维护。· 广泛与 AWS 服务合作，包括使用 ECS,Lambda,S3,Glue 和其他云服务设计和部署无服务器或容器化解决方案。· 使用现代框架开发和部署基于微服务的和事件驱动的架构来支持模块化和可扩展应用程序开发。· 集成并与 GenAI 框架和 API （如 OpenAI,Hugging Face,Google Vertex AI）或其它企业级平台一起工作。·建立和执行编码标准，进行同行代码审查，确保测试自动化和 CI/CD 工作流程最佳实践。·通过检测漏洞，修复和应用生命周期中实施 OWASP 最佳实践来确保安全性遵守。·与包括产品所有者，QA 和 DevOps 在内的敏捷跨功能团队合作，进行冲刺规划，交付和持续改进。最初发布于喜马拉雅山
查看英文原文
We are seeking a highly experienced and hands-on Solution Architect with over 10+ years of expertise in designing and delivering scalable, enterprise-grade frameworks and foundational services to support analytical applications and next-generation Generative AI (GenAI) solutions.
Location : Charlotte
Key Responsibilities:
- Lead and mentor a team of engineers in the design and development of foundational frameworks and infrastructure to support advanced analytics and GenAI solutions.
- Architect and implement scalable, reusable infrastructure components for data processing, integration, and enterprise-wide AI/ML initiatives.
- Define and drive integration strategies for both analytical applications and GenAI models, including Large Language Models (LLMs) and Agentic AI, into core enterprise systems and frameworks.
- Collaborate with platform, data, and ML teams to define data pipelines and infrastructure for model training, deployment, and monitoring, with a focus on both analytics and GenAI.
- Ensure solutions are technically robust, aligned with enterprise architecture, and meet scalability, performance, and reliability requirements.
- Actively participate in the design, development, and maintenance of high-performance applications using Java, Python, JavaScript, Scala, PySpark, Spark, and Snowflake.
- Work extensively with AWS services, including designing and deploying serverless or containerized solutions using ECS, Lambda, S3, Glue, and other cloud services.
- Develop and deploy microservices-based and event-driven architectures using modern frameworks to support modular and scalable application development.
- Integrate and work with GenAI frameworks and APIs such as OpenAI, Hugging Face, Google Vertex AI, or other enterprise-grade platforms.
- Establish and enforce coding standards, conduct peer code reviews, and ensure best practices for test automation and CI/CD workflows.
- Ensure security compliance through vulnerability detection, remediation, and implementation of OWASP best practices in the application lifecycle.
- Collaborate with Agile cross-functional teams, including Product Owners, QA, and DevOps, for sprint planning, delivery, and continuous improvement
Originally posted on Himalayas