← 返回岗位列表中国IT/互联网fulltime

AI赋能负责人 [gn] 数据智能

雇主

Actian

地点

远程 · 中国

待遇

面议

工作模式

远程

截止日期

12月12日

🤖 AI 简历匹配评估

检测你的简历与该岗位的匹配度,免费

免费评估

岗位摘要

The AI Enablement Team is the catalyst for internal transformation and product acceleration across Actian. In the modern data landscape, AI is not a siloed experimental lab; it is a core capability that must be embedded into our product DNA and our engineering workflows. We are looking for an AI Enablement Lead who will architect,…

岗位职责

The AI Enablement Team is the catalyst for internal transformation and product acceleration across Actian. In the modern data landscape, AI is not a siloed experimental lab; it is a core capability that must be embedded into our product DNA and our engineering workflows.
We are looking for an AI Enablement Lead who will architect, scale, and own our AI enablement strategy end-to-end. You are not a theoretical researcher or a passive prompt engineer; you are a highly practical, technical driver who builds the foundational platforms, tooling, and frameworks that allow other product and engineering teams to deploy AI safely, rapidly, and at scale. You will democratize AI across the organization, establish modern LLMOps/MLOps practices, and directly impact the Actian Data Intelligence Platform by introducing agentic workflows, intelligent data pipelines, and cutting-edge capabilities.
Core Responsibilities:
Internal AI tooling: Design and maintain the core AI orchestration layers, centralized API gateways, and reusable frameworks (e.g., advanced RAG architectures, agentic frameworks) for company-wide consumption.
Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform.
LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias, data privacy, and security across all AI implementations.
Cost & Latency Optimization: Actively monitor and manage cloud and API compute spend (token management, open-source vs. commercial models) and optimize execution latency for production AI features.
Cross-Functional Upskilling: Lead workshops, design blueprints, and create documentation to empower non-AI engineering teams to build and maintain their own AI-driven features confidently.
Rapid Prototyping(PoC to Production): Drive the engineering execution of high-impact AI proof-of-concepts, ensuring they are built with production-grade code that scales seamlessly.
Standardization of Tooling: Define and enforce the organization's official AI stack, from vector database selection and vector embeddings strategies to semantic caching mechanisms.
Vendor & Open-Source Strategy: Evaluate and manage partnerships with AI model providers and lead the technical assessment of cutting-edge open-source models to keep Actian at the vanguard of innovation.
Data-Driven Impact Tracking: Define and track operational metrics for the AI Enablement function, such as developer adoption rates, reduction in time-to-market for AI features, and ROI of implemented AI tools.
Qualifications & Profile:
Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms.
AI & Engineering Mastery: Deep technical expertise in Python or Go, semantic search, vector databases (e.g., Pinecone, Milvus, pgvector), orchestration frameworks (LangChain, LlamaIndex), and fine-tuning or prompt engineering of state-of-the-art Large Language Models (LLMs).
Extreme Ownership: High-agency mindset. You don’t wait for product teams to ask for AI capabilities; you proactively build the frameworks that solve their bottlenecks before they even identify them.
Software Engineering Rigor: You treat AI development as software engineering. You understand CI/CD, unit testing for AI (evaluation datasets), containerization (Docker/Kubernetes), and clean code architecture.
Influence Without Authority: Exceptional leadership and communication skills. You can inspire and align disparate engineering teams around a shared technical vision without being their direct line manager.
Communication: Exceptional verbal and written English communication skills. Ability to demystify complex AI anomalies or architectures into clear business value for internal stakeholders and executives.
What We Offer:
The chance to be part of an innovative, fast-growing company making a significant impact in the data management space.
Collaboration with a passionate and diverse team.
Competitive salary and benefits package.
Flexible work arrangements (remote or hybrid).
Opportunities for professional growth and development.
Why Join Us? At Actian, we are passionate about innovation and teamwork. This role is perfect for someone who thrives in a dynamic environment, loves creating an efficient and welcoming workspace, and enjoys working closely with a talented team.
Interested? We’d love to hear from you! Let’s discuss how you can contribute to our success while growing your career with us.
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

申请条件

- 具备构建和维护核心AI编排层、集中式API网关及可复用框架(如高级RAG架构、代理框架)的实践经验
- 能够与核心工程团队协作,将生产级生成式AI和机器学习功能嵌入产品平台
- 熟悉LLMOps/MLOps实践,包括建立严格的护栏、评估框架和监控工具,以跟踪模型性能、偏见、数据隐私和安全性
- 具备成本与延迟优化能力,包括管理云和API计算支出(令牌管理、开源与商业模型选择)以及优化生产AI功能的执行延迟
- 有能力主导跨职能培训,包括举办研讨会、设计蓝图和创建文档,以赋能非AI工程团队
- 具备从概念验证到生产环境的快速原型驱动能力
- 具有高度务实的技术驱动力,而非理论研究者或被动提示工程师
- 能够架构、扩展并端到端负责AI赋能策略
- 具备将AI民主化到整个组织并建立现代LLMOps/MLOps实践的能力
- 能够通过引入代理工作流、智能数据管道和前沿能力直接影响数据智能平台

雇主简介

Actian provides data management and analytics solutions, including SaaS backend architectures and data integration platforms.

对这个岗位感兴趣?

该岗位暂未开放在线申请,顾问可为您推荐同类岗位或申请指导

咨询不收取任何费用,顾问将为您推荐合适的岗位与申请方式

投递国内企业,你的简历符合 HR 筛选标准吗?

AI 自动评估你与该岗位的匹配度,3 分钟出结果

免费评估简历匹配度

数据来源:Jobicy

岗位信息来源于公开渠道,版权归原作者所有