Python 解决方案架构师（GenAI）
Python Solutions Architect (GenAI)
职位描述：
Provectus 是一家全球人工智能和云咨询公司，帮助企业在实际业务中实现人工智能和数据的价值。我们专注于设计、构建和扩展端到端的 AI/ML 系统、数据平台和云原生架构，拥有 AWS、MLOps 和企业级 AI 交付方面的深厚专业知识。
我们是 Anthropic 的官方合作伙伴，与前沿的基础模型合作，帮助企业安全有效地采用先进的 AI 能力。
我们的咨询团队覆盖金融、医疗、零售和技术等多个行业，通过实际工程和咨询服务带来可衡量的业务影响。
作为解决方案架构师，您将推动基于 GenAI 的解决方案开发，包括 AI 代理、RAG 系统和 Python 服务。您将提供技术领导力，负责解决方案架构，指导工程师，并从需求阶段引导项目到生产环境。
您将带来的能力：
思维模式
- 全栈思维，熟悉 AI、后端开发和云基础设施
- 已经在日常工作中使用 AI 工具（如 Claude Code、Copilot 或类似工具）
- 主动且自我驱动；您对结果负全责，并能提前发现潜在问题
- 英语 B2+ 水平，能够与分布式的多文化团队协作
售前与客户参与
- 负责客户的工程技术关系；主导需求分析，将模糊的需求分解为技术组件，展示架构，并在需求与时间或预算不符时进行合理调整
- 制定有范围、分阶段的交付计划，明确交付成果、依赖关系和风险
- 有成本估算和云架构成本优化的经验
Python、AI 与云
- 7 年以上构建和运行生产系统的经验，而不仅仅是演示和原型
- 对 AI/ML 概念有深入理解，并有将 AI/ML 组件集成到解决方案中的经验
- 精通 Python：面向对象编程、设计模式、整洁架构和性能优化
- 有使用 FastAPI、Django REST 或 Flask 构建 RESTful API 的经验
- 有做出并辩护架构权衡决策的经验：微服务 vs 单体架构，同步 vs 事件驱动，SQL vs NoSQL
- 有良好的测试实践：针对 AI 系统的 pytest、模拟和集成测试
- 有使用 Docker 和 Kubernetes 的经验
- 有构建生产级 LLM 应用的实际经验
查看英文原文
About The Role:
Provectus is a global AI and cloud consulting company helping enterprises turn artificial intelligence and data into production-ready business solutions. We specialize in designing, building, and scaling end-to-end AI/ML systems, data platforms, and cloud-native architectures, with strong expertise in AWS, MLOps, and enterprise-grade AI delivery.
We are an official Anthropic partner, working with cutting-edge foundation models to help organizations safely and effectively adopt advanced AI capabilities.
Our consulting teams operate across industries such as finance, healthcare, retail, and technology, delivering solutions with measurable business impact through hands-on engineering and advisory.
As a Solutions Architect, you will drive the development of GenAI-powered solutions, including AI agents, RAG systems, and Python services. You will provide technical leadership, own solution architecture, mentor engineers, and guide projects from discovery to production.
What You’ll Bring:
Mindset
- Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure
- Already using AI tools in your daily workflow (Claude Code, Copilot, or similar)
- Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you
- B2+ English, comfortable collaborating across distributed, multicultural teams
Presales & Client Engagement
- Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget
- Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks
- Experience with cost estimation and cloud architecture cost optimization
Python, AI & Cloud
- 7+ years building and running production systems not only demos and POCs
- Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions
- Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization
- Experience building RESTful APIs with FastAPI, Django REST, or Flask
- Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL
- Strong testing practices: pytest, mocking, and integration tests for AI systems
- Experience with Docker and Kubernetes
- Hands-on experience building production LLM-based applications and agentic workflows
- Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
- Experience building and optimizing RAG systems
- Understanding of LLM evaluation techniques and quality assurance approaches
- Experience deploying and maintaining AI/ML models in production environments
- Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
- Experience with React/Vue
- AWS and Claude Code Certifications
Nice to Have
- Experience with Streamlit or Gradio for AI prototyping
- Modern Python tooling (ruff, uv, pyproject.toml, pyright)
- CI/CD pipeline experience (GitHub Actions, GitLab CI)
- Experience in an additional language (Go, Node.js, or Rust)
- Front-end experience
What You’ll Do:
- Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
- Implement and optimize RAG systems for production use cases
- Design and build LLM-based and agentic AI solutions that address real client business challenges
- Own the technical direction of client engagements from discovery through delivery
- Support presales: discovery calls, technical proposals, scoping, and client-facing demos
- Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
- Mentor engineers, lead code reviews, and share knowledge across the team
- Build and maintain strong relationships with key client stakeholders as a trusted technical advisor
What We Offer:
- Opportunity to work with cutting-edge AI and cloud solutions
- Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications
- Career growth: a clear path toward SA or beyond; we actively develop our engineers
- Access to the latest AI tools and premium subscriptions
- Long-term B2B collaboration
- Remote with flexible hours
- Private medical insurance or a budget for your medical needs
- Paid sick leave, vacation, and public holidays
- Equipment and all the tech you need for comfortable, productive work