首席架构师，系统与AI
Principal Architect, Systems & AI
职位简介：
EnvisionWare正在招聘一位架构师，作为公司全面AI优先转型的技术真相层。您将负责40多个产品的整体架构完整性，利用AI对现有代码库进行映射和分析，并在任何AI生成的技术主张成为决策之前进行验证。这个角色是让速度变得安全的保障。您向工程总监汇报，并在内部团队和Contour小组中担任架构权威。如果这是找到合适人选的最快途径，合同转正式职位也是可以接受的。合适的候选人具备深入的系统思维能力，对遗留系统和AI生成的输出都有实际的怀疑态度，并且有贴近交付的经验——而不是脱离交付。
职位描述：
简介
EnvisionWare正在招聘一名高级架构师，系统与AI，作为公司全面AI优先转型的技术真相层。您将负责40多个产品的整体架构完整性，利用AI对现有代码库进行映射和分析，并在任何AI生成的技术主张成为决策之前进行验证。这个角色是让速度变得安全的保障。您向工程总监汇报，并在内部团队和Contour小组中担任架构权威。合适的候选人具备深入的系统思维能力，对遗留系统和AI生成的输出都有实际的怀疑态度，并且有贴近交付的经验——而不是脱离交付。
您将负责
- 所有产品和主要技术变更的架构完整性
- 架构审批关口：任何涉及系统边界、认证、支付或数据模型的设计都需要您的批准
- 系统映射、依赖分析和风险发现——由AI加速但由您验证
- 现代化路线图：决定在哪里稳定、模块化、退役或选择性重写
- 使AI辅助开发在大规模下安全的技术保障
AI如何改变这个角色
AI是您的增强工具，而不是真相来源。您将使用AI来爬取和映射不熟悉的代码库，生成依赖视图，揭示隐藏的风险，并起草架构提案。但每项AI生成的技术发现都被视为假设，直到您进行验证。您制定AI生成工作需要更深入的人工审查的规则，并加以执行。
我们寻找的人选
- 10年以上在混乱系统中的架构经验
查看英文原文
Job Summary:
EnvisionWare is hiring an Architect to serve as the technical truth layer for a company-wide AI-first transformation. You will own architectural integrity across a portfolio of 40+ products, use AI to map and interrogate the existing codebase, and validate every AI-generated technical claim before it becomes a decision. This role is the guardrail that makes speed safe. You report into the Director of Engineering and act as architecture authority across the internal team and Contour pod. Contract-to-hire is acceptable if that is the fastest path to the right person. The right candidate has deep systems-thinking capability, practical skepticism about both legacy systems and AI-generated output, and a track record of working close to delivery — not detached from it.Job Description:
Summary
EnvisionWare is hiring a Principal Architect, Systems & AI to serve as the technical truth layer for a company-wide AI-first transformation. You will own architectural integrity across a portfolio of 40+ products, use AI to map and interrogate the existing codebase, and validate every AI-generated technical claim before it becomes a decision. This role is the guardrail that makes speed safe. You report into the Director of Engineering and act as architecture authority across the internal team and Contour pod. The right candidate has deep systems-thinking capability, practical skepticism about both legacy systems and AI-generated output, and a track record of working close to delivery — not detached from it.
What You'll Own
- Architectural integrity across all products and major technical changes
- The architecture approval gate: every design touching system boundaries, auth, payment, or data models requires your sign-off
- System mapping, dependency analysis, and risk discovery — accelerated by AI but validated by you
- The modernization roadmap: deciding where to stabilize, modularize, retire, or selectively rewrite
- Technical guardrails that make AI-assisted development safe at scale
How AI Changes This Role
AI is your force multiplier, not your source of truth. You will use AI to crawl and map unfamiliar codebases, generate dependency views, surface hidden risks, and draft architecture proposals. But every AI-generated technical finding is treated as a hypothesis until you validate it. You set the rules for what AI-generated work requires deeper human review — and you enforce them.
What We're Looking For
- 10+ years of architecture experience in messy, real-world production environments
- Legacy modernization expertise — strangler patterns, characterization tests, and the judgment to know when rewrite is justified and when it isn't
- Multi-stack knowledge: Java, Angular, .NET, PostgreSQL, Kubernetes (or comparable breadth)
- Ability to understand unfamiliar code quickly and challenge weak assumptions — whether from humans or AI
- Practical skepticism: you use AI aggressively but trust it only after validation
- Comfort working close to delivery, code, and teams rather than operating as a detached enterprise architect
What Success Looks Like (First 90 Days)
- Run an AI-assisted codebase crawl and produce validated system maps and dependency views
- Classify the portfolio: stabilize, modularize, modernize, retire, or selectively rewrite
- Define architecture approval rules for cross-boundary changes
- Validate any AI-generated technical findings before they appear in leadership or roadmap decisions
- Set the technical guardrails that make AI maturity safe and achievable
Worker Type:
RegularNumber of Openings Available:
1Originally posted on Himalayas