AI架构师 – 代理系统
AI Architect – Agentic Systems
Blanc Labs 是全球企业的首选合作伙伴，引领数字化、自动化以及下一代数字产品和服务的开发。我们在数字化转型方面的专长助力企业加速服务交付、推动客户参与并促进增长。
你是否准备好构建人工智能的未来？Blanc Labs 正在寻找一位有远见的人工智能架构师，负责在 Azure 上设计和交付生产级代理系统。这不是一个概念验证岗位，你将负责真正可扩展的 AI 平台架构，为北美和南美的企业客户赋能。你将连接前沿的 AI 创新与生产工程的严谨性，塑造组织对智能自动化的思考和部署方式。这是一个定义职业生涯的机会，在 AI 的最前沿工作，你的决策将直接推动客户转型、业务成果和下一代数字产品的演进。
你将负责的工作
- 在 Azure AI Foundry 上设计和交付生产级代理 AI 系统，确保解决方案超越原型，进入可扩展的企业就绪平台。
- 构建端到端的流水线，利用 Azure OpenAI、向量搜索、工具调用模式以及 LangChain / Semantic Kernel 进行编排。
- 定义并执行 REST API 设计标准、JSON 模式定义以及基于事件/消息的集成模式，贯穿所有 AI 工作负载。
- 领导解决方案从 MVP 到产品化平台的演进，包括重构、加固，并满足性能、可靠性、可观测性和安全性等方面的非功能性需求。
- 部署并管理可扩展的 Azure 基础设施（AKS、App Service、Functions 或等效方案），与 DevOps/SRE 团队合作定义运行手册、SLIs/SLOs 和监控框架。
- 评估并集成新兴的代理框架和模式（MCP、A2A），以持续提升平台能力。
- 使用 LangSmith 或等效工具实现代理流水线中的追踪、评估和质量保障。
- 使用 Visio、Figma 或类似工具记录架构、序列图和交互流程；使用 Mural/Miro 与分布式团队进行协作设计会议。
- 与跨职能和多项目团队合作，确保平台组件在各产品中有效复用和版本控制。
- 支持事件管理和事后分析，提出改进措施
查看英文原文
Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.
Are you ready to architect the future of AI? Blanc Labs is looking for a visionary AI Architect to lead the design and delivery of production-grade agentic systems on Azure. This is not a proof-of-concept role, you will own the architecture of real, scalable AI platforms that power our enterprise clients across North and South America. You will bridge cutting-edge AI innovation with the rigor of production engineering, shaping how organizations think about and deploy intelligent automation. This is a career-defining opportunity to work at the frontier of AI, where your decisions will directly drive client transformation, business outcomes, and the next generation of digital products.
What You'll Be Doing
- Design and deliver production-grade agentic AI systems on Azure AI Foundry, ensuring solutions go well beyond PoC and into scalable, enterprise-ready platforms.
- Architect end-to-end pipelines leveraging Azure OpenAI, vector search, tool-calling patterns, and LangChain / Semantic Kernel for orchestration.
- Define and enforce REST API design standards, JSON schema definitions, and event/message-based integration patterns across AI workloads.
- Lead the evolution of solutions from MVP to productized platforms, including refactoring, hardening, and meeting non-functional requirements around performance, reliability, observability, and security.
- Deploy and oversee scalable Azure infrastructure (AKS, App Service, Functions, or equivalent), collaborating with DevOps/SRE teams to define runbooks, SLIs/SLOs, and monitoring frameworks.
- Evaluate and integrate emerging agent frameworks and patterns (MCP, A2A) to continuously modernize platform capabilities.
- Use LangSmith or equivalent tooling to implement tracing, evaluation, and quality assurance across agentic pipelines.
- Document architectures, sequence diagrams, and interaction flows using Visio, Figma, or similar tools; facilitate collaborative design sessions using Mural/Miro with distributed teams.
- Partner with cross-functional and multi-program teams to ensure platform components are reused and versioned effectively across products.
- Support incident management and post-mortems, contributing to a culture of continuous improvement in live production contexts.
What You'll Need to Be Successful
Core Technical & Architectural Experience
- At least one end-to-end production AI or agentic system delivered on Azure, not just experimentation.
- Deep understanding of Azure AI Foundry, Azure OpenAI Service, vector search, and tool-calling–based architectures.
- Hands-on experience with LangChain and/or Semantic Kernel for orchestration, and LangSmith or equivalent for tracing and evaluation.
- Familiarity with emerging agent frameworks and patterns (MCP, A2A), with demonstrated experimentation in real workflows.
- Strong foundation in REST API design and integration, JSON schema definition, and event/message-based architecture patterns.
Productization, Scale & Operations
- Proven track record taking solutions from MVP to productized platform, with experience in refactoring, hardening, and addressing non-functional requirements.
- Hands-on deployment experience with scalable Azure environments: AKS, App Service, Azure Functions, or equivalent services.
- Experience collaborating with DevOps/SRE/Operations teams to define runbooks, SLIs/SLOs, logging, and monitoring for production systems.
- Familiarity with incident management and post-mortems in live production environments.
Tooling & Collaboration
- Daily working proficiency with GitHub (repositories, PRs, GitHub Actions) and Jira (backlog management, boards, epics).
- Exposure to ServiceNow for change and incident management, including working with Change/ITSM processes.
- Ability to document complex architectures, sequence diagrams, and interaction flows using Visio, Figma, or similar tools.
- Comfortable driving collaborative design sessions using Mural, Miro, or whiteboard tools with distributed, multi-timezone teams.
- Experience operating within multi-program environments where shared platform components are reused and versioned across multiple teams and products.
Originally posted on Himalayas