解决方案架构师
Solution Architect
AI开发工程限定地区(需当地身份)
公司Zealogics
薪资$75 - $85
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Contractor
发布时间今天
数据来源Himalayas
注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
- 我们正在寻找一位经验丰富的Azure解决方案架构师,负责在Microsoft Azure上设计和实施可扩展、安全、具备AI功能的企业级解决方案。该职位需要具备云架构、应用现代化、微服务、API策略和生成式AI方面的综合能力。
理想的候选人将负责推动解决方案架构项目,与跨职能利益相关者合作,并交付支持业务转型目标的创新云原生和AI驱动平台。
主要职责
- 在Microsoft Azure上设计和构建企业级解决方案。
- 领导云现代化、应用转型和AI采用项目。
- 使用微服务和基于容器的架构开发云原生应用。
- 使用Azure API管理(APIM)设计安全的API生态系统。
- 利用Azure OpenAI、Azure AI Search和RAG架构构建和集成AI驱动的解决方案。
- 定义架构标准、治理框架、可扩展性、弹性和安全最佳实践。
- 创建架构文档、技术路线图和解决方案设计。
- 推动DevOps、CI/CD、监控、可观测性和运营卓越性项目。
- 确保符合云安全、IAM、治理和企业标准。
- 优先资格
- Microsoft Azure解决方案架构师认证(AZ-305)
- Azure AI工程师认证
- 具有交付企业AI/生成式AI转型项目的经验
- 具有LangChain、向量数据库和对话式AI平台的经验
- 了解AI治理、可观测性和负责任的AI实践
- 利益相关者沟通要求
- 具有与业务利益相关者、产品负责人、工程团队、安全团队和高管合作的丰富经验。
- 能够将业务需求转化为可扩展的技术解决方案。
- 具有领导架构评审、研讨会和技术讨论的经验。
- 具备与技术和非技术受众进行有效演示和沟通的能力。
- 能够影响决策并推动跨职能团队的协作。
- 必要技能与经验
- 10年以上软件工程、云架构或解决方案架构经验。
- 5年以上在Microsoft Azure上设计企业级解决方案的实际经验。
- 在Azure A
查看英文原文
- We are seeking an experienced Azure Solution Architect to lead the design and implementation of scalable, secure, AI-enabled enterprise solutions on Microsoft Azure. This role requires a strong mix of cloud architecture, application modernization, microservices, API strategy, and Generative AI expertise.
The ideal candidate will be responsible for driving solution architecture initiatives, collaborating with cross-functional stakeholders, and delivering innovative cloud-native and AI-powered platforms that support business transformation goals.
Key Responsibilities
- Design and architect enterprise-scale solutions on Microsoft Azure.
- Lead cloud modernization, application transformation, and AI adoption initiatives.
- Develop cloud-native applications using microservices and container-based architectures.
- Design secure API ecosystems using Azure API Management (APIM).
- Build and integrate AI-powered solutions utilizing Azure OpenAI, Azure AI Search, and RAG architectures.
- Define architecture standards, governance frameworks, scalability, resiliency, and security best practices.
- Create architecture documentation, technical roadmaps, and solution designs.
- Drive DevOps, CI/CD, monitoring, observability, and operational excellence initiatives.
- Ensure compliance with cloud security, IAM, governance, and enterprise standards.
- Preferred Qualifications
- Microsoft Azure Solutions Architect Certification (AZ-305)
- Azure AI Engineer Certification
- Experience delivering enterprise AI/GenAI transformation programs
- Experience with LangChain, Vector Databases, and Conversational AI platforms
- Exposure to AI governance, observability, and responsible AI practices
- Stakeholder Communication Requirements
- Proven experience collaborating with business stakeholders, product owners, engineering teams, security teams, and executive leadership.
- Ability to translate business requirements into scalable technical solutions.
- Experience leading architecture reviews, workshops, and technical discussions.
- Strong presentation and communication skills with both technical and non-technical audiences.
- Ability to influence decision-making and drive alignment across cross-functional teams.
- Required Skills & Experience
- 10+ years of Software Engineering, Cloud Architecture, or Solution Architecture experience.
- 5+ years of hands-on experience designing enterprise solutions on Microsoft Azure.
- Strong experience with Azure App Services, APIM, Application Gateway (WAF), Azure Monitor, and Azure Container Registry (ACR).
- Expertise in microservices architecture, REST APIs, and containerized applications.
- Hands-on experience with Azure OpenAI, Azure AI Search, Prompt Engineering, and RAG solutions.
- Experience integrating LLMs such as GPT, Claude, Gemini, or Llama into enterprise applications.
- Strong knowledge of PostgreSQL, Azure Cosmos DB, and modern data architectures.
- Experience with Azure DevOps, CI/CD pipelines, DevSecOps, and infrastructure automation.
- Solid understanding of cloud security, IAM, authentication, authorization, and governance frameworks.
Originally posted on Himalayas
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