高级AI及云原生软件架构师（108-10SENG-01）
Senior AI & Cloud-Native Software Architect (108-10SENG-01)
这一角色拥有 AI 支持应用和检索系统的软件和云原始架构，从设计到生产。它结合了建筑领导力与实践工程：设计 GenAI 和 RAG 解决方案，建立云原生后端服务，并确保生产工作负载所需的安全性，可靠性和可观测性。要求你将做什么 · 设计可扩展，安全和弹性的架构用于人工智能实现的应用程序，定义服务界限，数据流程，API 和集成模式。· 在微服务器，容器，无服务器和事件驱动系统中定义云原生模式。· 设计和生产 GenAI 和 RAG 解决方案：模型选择和路由，检索策略，评估，防护以及成本/延迟优化。· 在 TypeScript/Node.js 和/或 Python 中构建后端服务，并使用队列，工作人员和网络链接进行事件驱动的工作流程。·定义非功能要求，评估交易和文件决策在 ADR 中。·将业务用例转换为技术设计，评估和执行总结。·拥有从发现到实践，通过架构和代码审查引导工程师的建筑。·实现可观测性和 CI /CD 安全管道。求职要求 · 7年以上软件经验。· 经验证明拥有生产分布式系统 （微服务，域驱动设计，REST 和异步 API）的架构。· 实践提供生产 GenAI 或 LLM 应用程序，包括评估和人工智能安全控制。· 与 RAG,嵌入式数据库和向量数据库的经验 （pgvector,OpenSearch 或相等）. ·强大的 TypeScript/Node.js 或 Python 工程经验。· 深入了解云原生模式：容器和 Kubernetes,无服务器，事件驱动消息以及弹性模式。· 强有力的理解云原生系统中的安全性：身份，授权，机密管理和数据保护。· Docker,CI/CD,自动化测试和可观测性 （OpenTelemetry,Grafana,Datadog 或 CloudWatch）. 很好拥有 · AWS:Bedrock,Lambda,API Gateway,SQS,EventBridge,步骤函数，ECS/EKS,Aurora PostgreSQL,DynamoDB. ·对话与联系中心：WhatsApp 商业 API,Amazon Connect,亚马逊 Lex,Twilio,语音机器人。· Terraform,CloudFormation 或 CDK. · AWS 认证解决方案架构师专业或等级。·面向客户的咨询。
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This role owns the software and cloud-native architecture of AI-enabled applications and retrieval systems, from design to production. It combines architectural leadership with hands-on engineering: designing GenAI and RAG solutions, building cloud-native backend services, and ensuring the security, reliability, and observability required for production workloads.
Requirements
What you will do
- Design scalable, secure, and resilient architectures for AI-enabled applications, defining service boundaries, data flows, APIs, and integration patterns.
- Define cloud-native patterns across microservices, containers, serverless, and event-driven systems.
- Design and productionize GenAI and RAG solutions: model selection and routing, retrieval strategy, evaluation, guardrails, and cost/latency optimization.
- Build backend services in TypeScript/Node.js and/or Python, and event-driven workflows with queues, workers, and webhooks.
- Define non-functional requirements, evaluate trade-offs, and document decisions in ADRs.
- Translate business use cases into technical designs, assessments, and executive summaries.
- Own the architecture from discovery to go-live, guiding engineers through architecture and code reviews.
- Implement observability and secure CI/CD pipelines.
Job requirements
- 7+ years of software engineering experience.
- Proven experience owning the architecture of production distributed systems (microservices, domain-driven design, REST and asynchronous APIs).
- Hands-on delivery of production GenAI or LLM applications, including evaluation and AI safety controls.
- Experience with RAG, embeddings, and vector databases (pgvector, OpenSearch, or equivalent).
- Strong TypeScript/Node.js or Python engineering experience.
- Deep knowledge of cloud-native patterns: containers and Kubernetes, serverless, event-driven messaging, and resilience patterns.
- Strong understanding of security in cloud-native systems: identity, authorization, secrets management, and data protection.
- Docker, CI/CD, automated testing, and observability (OpenTelemetry, Grafana, Datadog, or CloudWatch).
Nice to have
- AWS: Bedrock, Lambda, API Gateway, SQS, EventBridge, Step Functions, ECS/EKS, Aurora PostgreSQL, DynamoDB.
- Conversational and contact center: WhatsApp Business API, Amazon Connect, Amazon Lex, Twilio, voice bots.
- Terraform, CloudFormation, or CDK.
- AWS Certified Solutions Architect – Professional or equivalent.
- Customer-facing consulting experience and comfort presenting to executive stakeholders.
Engagement details
Part time
Remote
Contractor Hourly
Start: ASAP
Highlights
AWS (Bedrock, Lambda, SQS, EventBridge), GenAI / LLM, RAG & Vector Databases (pgvector, OpenSearch), TypeScript / Node.js, Python, Kubernetes, Docker, PostgreSQL, Terraform / CloudFormation / CDK
Originally posted on Himalayas