人工智能与集成架构师
AI and Integration Architect
Tiger Analytics 是人工智能和高级分析咨询领域的全球领导者，帮助财富 1000 强公司解决最棘手的业务挑战。我们致力于推动 AI 能力的边界，为更美好的明天提供数据驱动的确定性。我们的 6000 多名技术专家和顾问团队遍布五大洲，大规模构建前沿的机器学习和数据解决方案。加入我们，做出卓越的工作，塑造企业 AI 的未来。
该职位位于人工智能与强大企业集成的交汇点。定义组织中 AI 采用的技术蓝图，重点关注大语言模型（LLM）、检索增强生成（RAG）和预测分析，同时构建高性能 API 和消息传递基础架构，以支持这些实时系统。
要求
职位描述
- AI 策略与架构：制定企业 AI 采用的技术蓝图和路线图。设计可扩展的 LLM 集成、RAG 和预测建模框架，确保成本效益、可扩展性和伦理 AI 标准。
- 数据集成与 API：设计高性能、安全的 API 服务（RESTful、GraphQL）和事件驱动架构，连接异构系统并支持实时 AI 应用。
- AI 与数据治理：建立数据隐私、合规性和安全性方面的规范，涉及 AI 训练数据、模型输入和 API 访问管理。
- 跨职能领导力：与高管团队、数据科学家和产品团队合作，将业务目标转化为可生产的 AI 和集成策略。
- 8 年以上软件架构、系统集成或机器学习工程经验，其中至少 2-3 年专注于 AI/LLM 解决方案的生产化。
- 在 Azure Databricks 方面有经验者优先
福利
随着公司的发展，存在显著的职业发展机会。该职位提供一个独特的机会，加入一个小型、快速成长、具有挑战性和创业精神的环境，拥有高度的个人责任。
Tiger Analytics 向申请人和员工提供平等的就业机会，不因种族、肤色、宗教、年龄、性别、性取向、性别认同/表达、怀孕、国籍、祖籍、婚姻状况、受保护的退伍军人身份、残疾状况或其他受联邦、州或地方法律保护的任何原因而有所歧视。
Tiger Analytics 提供平等的就业机会。
查看英文原文
Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.
This role sits at the intersection of artificial intelligence and robust enterprise integration. Define the technical blueprint for scaling AI adoption across the organization, focusing specifically on LLMs, RAG, and predictive analytics, while building the high-performance API and messaging backbones required to fuel these real-time systems.
Requirements
Job Description
- AI Strategy & Architecture: Define the technical blueprint and roadmap for enterprise AI adoption. Architect scalable frameworks for LLM integration, RAG, and predictive modeling, ensuring cost-efficiency, scalability, and ethical AI standards.
- Data Integration & APIs: Design high-performance, secure API services (RESTful, GraphQL) and event-driven architectures to connect disparate systems and power real-time AI applications.
- AI & Data Governance: Establish guardrails for data privacy, compliance, and security regarding AI training data, model inputs, and API access management.
- Cross-Functional Leadership: Collaborate with executive leadership, data scientists, and product teams to translate business goals into production-ready AI and integration strategies.
- 8+ years of experience in software architecture, system integration, or machine learning engineering, with at least 2-3 years dedicated to productionizing AI/LLM solutions.
- Preferred experience in Azure Databricks
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Originally posted on Himalayas