AI Architect
关于我们 在普罗维克斯，你不在沙箱里做原型模型，然后给客户一个幻灯片。你嵌入银行，保险公司或卫生系统中，学习工作，并将 Claude + AWS 系统运送到其实际的监管生产中，然后看着业务号码移动。我们是一个拥有150多个认证建筑师的人类和 AWS 合作伙伴。这意味着最新的模式，真正的预算和问题是重要的，没有一百万人层，政治和影响的一年。350+ 构建者，100+ 客户正在生产，自2010年以来由创始人领导，遍布北美，拉塔姆和 EMEA 地区的办事处。为什么普罗维奇 ·边界访问 人类优先：合作伙伴 最新的克劳德模型，实际预算，真正的问题。· 实在任务 （而不是范围）,实际部署。你去操作问题所在的地方，并将生产代码送给真实的用户，而不是坐于驱动器上的幻灯片板。· 嵌入式，不参与。你是客户团队的一部分，并且在其过程中，没有供应商正在运营一个项目。嵌入式并不增加员工。· 自主。从框架到制作，可见于客户和创始人。你拥有该方法；没有人会交付你的门票。· 你的经验保持便携性。每次接触都是新的问题，通常是在一个新行业，所以你的技能复合而不是缩小到一个产品。没有遗留维护磨砂，也没有单一堆。· 工艺与增长 在克劳德认证的团队中建立高级 FDEs 旁边；一个真正的平台 （谈话，OSS）来发展你的名字。· 我们给你一个舞台：克劳德证明，会议讲话，开源贡献，以自己的名字发表的工作。你将会做什么？· 在每个参与的第一周都在运营商座位上度过，从内部学习限制，然后从客户和前进部署者一起重建功能。你不会从零开始。普罗维斯建立了行业蓝图，已经为你的行业客户发送的工作系统。你的参与从该基线开始，并在现场学习的事情回归其中。· 在金融服务和医疗保健领域提供合作伙伴激活，代理 SDLC 和蓝图激活。·帮助塑造领先企业如何采用人工智能，从战略到第一步
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About us
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
- Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems.
- Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.
- Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented.
- Autonomous. You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.
- Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack.
- Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name.
- We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name.
What you’ll do
- Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it.
- Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously.
- You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it.
- Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
- Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice.
What we look for
- Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
- Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly.
- Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.
- You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
- Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
- Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits.
- Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
- Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.
- Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).
Nice to have
- Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
- IaC depth: AWS CDK, CloudFormation, Terraform.
- Open-source contributions or public writing on applied AI.
What we offer
- Full-time.
- On-site visits to client’s facilities and our office in NYC 1/week
- Unlimited Vacation policy.
- Generous health, vision, and dental insurance.
- 401(K) matching plan.
- Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
*No Visa sponsorship
We’re real
- A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team.
- We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates.
- You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.