Lead Assistant Manager
职位概述 我们正在寻找一个经验丰富的高级数据和人工智能开发人员,设计和扩展企业数据和 AI 解决方案,专注于代理人 AI,数据质量自动化和数据现代化倡议。关键责任 · 建立 AI 代理和多代理解决方案 • 发展代理工作流程和 LLM 集成 •实现数据质量,分类,血统和治理解决方案 •设计可扩展的 ETL/ELT 管道和现代数据平台 •支持基于云计算的数据现代化的程序 • 与商业,建筑和工程团队合作 · 8年以上数据开发,AI 工程或软件技术资格 • 强大的 Python 和 SQL 专业知识 · 与 Agentic AI 和 LLM 应用程序的经验 • 在 Azure,AWS 或 GCP 中的云体验 • 数据质量,元数据管理和数据治理经验 • CI/CD 和敏捷交付经验 想要的候选人个人资料手动开发人员拥有 AI,数据工程,治理和企业解决方案交付方面的专业知识。基础补偿范围:75,000-80,000 发布范围是该职位的招聘范围 是员工随着时间的推移可用的更广泛范围的一个子集,并反映了我们全国招聘规模内的基本薪资。最后的报价基于几个因素,包括候选人的技能和经验,内部薪酬公平性,工作地点,职位市场条件以及具体范围和责任。最上端为超过要求的候选人而保留;下端适用于那些有较少经验或更少优质资格的人。以高成本区 (例如加利福尼亚,纽约,新泽西)为基础的职位,实际赔偿可能超过发布范围;你的招聘人员将在过程中分享细节。了解更多关于福利和我们提供的信息请访问我们原本发表于喜马拉雅山
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Position Overview
We are seeking an experienced Senior Data & AI Developer to design and scale enterprise data and AI solutions focused on Agentic AI, Data Quality Automation, and Data Modernization initiatives.
Key Responsibilities
- Build AI agents and multi-agent solutions
- • Develop agentic workflows and LLM integrations
- • Implement data quality, classification, lineage, and governance solutions
- • Design scalable ETL/ELT pipelines and modern data platforms
- • Support cloud-based data modernization programs
- • Collaborate with business, architecture, and engineering teams
Required Qualifications
- 8+ years in Data Engineering, AI Engineering, or Software Development
• Strong Python and SQL expertise
- Experience with Agentic AI and LLM applications
- • Cloud experience in Azure, AWS, or GCP
- • Data Quality, Metadata Management, and Data Governance experience
• CI/CD and Agile delivery experience
Desired Candidate Profile
Hands-on developer with expertise across AI, data engineering, governance, and enterprise solution delivery.
Base Compensation Range: 75,000 - 80,000
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
For more information on benefits and what we offer please visit us at
Originally posted on Himalayas