#698 - AI/ML工程师（架构师）
#698 - AI/ML Engineer (Architect)
BlueCloud 是 Snowflake 金牌合作伙伴，2026 年 CoCo 增长型 Snowflake 合作伙伴年度得主。我们帮助企业组织从分散的旧系统迁移至统一、具备 AI 能力的 Snowflake 平台——比传统方法快 40-50% 地交付数据迁移、工程、治理、BI 与分析、AI/ML 解决方案。
我们拥有 450 多名 Snowflake 顾问，完成了 200 多个企业转型项目，并专注于 Snowflake。我们结合咨询导向思维与 AI 驱动加速器，将数月的工作转化为数周的结果。我们的客户涵盖金融服务、医疗健康与生命科学、零售、制造、能源等多个领域——成果不言自明：报告速度提升 97%，欺诈减少 40%，为客户节省 150 万美元，客户增长 10 倍。
我们不只是制定策略——我们执行。
职位概述
我们正在寻找一位经验丰富的 AI/ML 工程师 / AI 架构师，具备 Snowflake Cortex 和生成式 AI 的深厚专业知识，负责设计和实现企业级对话式 AI 解决方案。
理想的候选人将使用 Snowflake Cortex、Cortex Analyst、Cortex Agents、CoWork、检索增强生成（RAG）和代理 AI 框架构建智能应用。必须具备设计、开发和部署代理 AI 应用的实际经验。此职位需要有构建安全、可扩展、生产就绪的 AI 解决方案的经验，将企业数据转化为销售、市场、产品和高管利益相关者的可操作业务洞察。
主要职责
AI 解决方案架构
- 使用 Snowflake Cortex 原生功能设计和实现企业级生成式 AI 解决方案。
- 定义 AI 架构、知识检索策略、嵌入模型、分块技术以及语义搜索模式。
- 按照企业最佳实践构建可扩展、安全且受控的 AI 应用。
Snowflake Cortex 开发
- 使用 Cortex Complete、Cortex Search、Cortex Analyst、Cortex Agents、Cortex AI 函数和 CoWork 开发 AI 应用。
- 利用 Snowflake 原生 AI 功能构建智能助手和业务协作者。
检索增强生成（RAG）
- 设计和优化高级 RAG 流水线。
- 实现结合语义和关键词检索的混合搜索。
- 开发分块、索引、重新排序和上下文优化策略，以最大化响应质量。
代理 AI 开发
- 设计、开发和部署代理 AI 应用。
查看英文原文
BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches.
With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth.
We don't just strategize — we execute.
Role Overview
We are seeking an experienced AI/ML Engineer / AI Architect with deep expertise in Snowflake Cortex and Generative AI to lead the design and implementation of enterprise-grade conversational AI solutions.
The ideal candidate will architect intelligent applications using Snowflake Cortex, Cortex Analyst, Cortex Agents, CoWork, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. Hands-on experience designing, developing, and deploying Agentic AI applications is mandatory. This role requires experience building secure, scalable, production-ready AI solutions that transform enterprise data into actionable business insights for Sales, Marketing, Product, and Executive stakeholders.
Key Responsibilities
AI Solution Architecture
- Design and implement enterprise-scale Generative AI solutions using Snowflake Cortex native capabilities.
- Define AI architecture, knowledge retrieval strategies, embedding models, chunking techniques, and semantic search patterns.
- Build scalable, secure, and governed AI applications following enterprise best practices.
Snowflake Cortex Development
- Develop AI applications using Cortex Complete, Cortex Search, Cortex Analyst, Cortex Agents, Cortex AI Functions, and CoWork.
- Leverage Snowflake native AI capabilities to build intelligent assistants and business copilots.
Retrieval-Augmented Generation (RAG)
- Design and optimize advanced RAG pipelines.
- Implement hybrid search combining semantic and keyword retrieval.
- Develop chunking, indexing, re-ranking, and context optimization strategies to maximize response quality.
Agentic AI Development
- Design, develop, and deploy autonomous AI agents using Cortex Agents.
- Build Planner–Tool–Executor–Refiner workflows capable of solving complex, multi-step business problems.
- Integrate AI agents with enterprise tools, SQL, APIs, and business workflows.
- Evaluate, optimize, and monitor agent performance for accuracy, reliability, and business outcomes.
Prompt Engineering & AI Optimization
- Develop reusable prompt libraries and system prompts.
- Optimize prompts for accuracy, consistency, latency, and business relevance.
- Utilize Snowflake AI functions for summarization, classification, translation, sentiment analysis, and information extraction.
AI Evaluation & Responsible AI
- Design and implement AI evaluation frameworks using LLM-as-a-Judge methodologies.
- Measure faithfulness, relevancy, groundedness, toxicity, hallucination, response quality, and Agentic AI performance.
- Implement Cortex Guardrails and Responsible AI practices to ensure secure, trustworthy, and compliant AI responses.
Production Deployment & Governance
- Deploy AI applications across development, testing, and production environments.
- Implement CI/CD pipelines and deployment automation for Snowflake AI solutions.
- Ensure governance, monitoring, observability, access controls, and lifecycle management of AI applications.
Performance & Cost Optimization
- Optimize inference performance, latency, and Snowflake credit consumption.
- Monitor AI workloads and implement strategies for efficient compute utilization.
- Design cost-effective AI architectures without compromising user experience.
Required Skills & Experience
Experience
- 8+ years of experience in AI/ML, Data Engineering, or Data Platforms.
- Minimum 2+ years building production-grade Generative AI or LLM-based applications.
- Experience delivering enterprise AI solutions on Snowflake.
- Hands-on experience designing, developing, deploying, and evaluating Agentic AI applications is required.
Snowflake Cortex Expertise (Must Have)
Strong hands-on experience with Snowflake Cortex Native AI Features, including Cortex Complete, Cortex Search, Cortex Analyst, Cortex Agents, CoWork, Snowflake AI Functions, Snowpark, and Snowflake Intelligence (preferred).
Generative AI
Strong expertise in Retrieval-Augmented Generation (RAG), Prompt Engineering, Vector Embeddings, Semantic Search, Hybrid Search, Re-ranking, Context Window Optimization, Chunking Strategies, and Agentic AI Frameworks.
AI Evaluation & Responsible AI (Must Have)
Hands-on experience implementing AI Evaluation Frameworks, LLM-as-a-Judge, Response Evaluation Metrics, Hallucination Detection, Groundedness Evaluation, Cortex Guardrails, Agentic AI evaluation, Responsible AI practices, and AI Quality Monitoring.
Deployment & Governance (Must Have)
Experience with production deployment of AI applications, AI governance and security, model lifecycle management, CI/CD pipelines, monitoring and observability, performance tuning, cost optimization, and Snowflake credit management.
Technical Skills
Advanced SQL, Python, Snowpark (Python), Python UDFs, REST APIs, Git, CI/CD, and Streamlit (preferred).
Data & AI Engineering
Experience working with structured and unstructured data, PDFs, documents, meeting transcripts, knowledge bases, and enterprise document repositories.
Strong understanding of vector databases, embedding models, cosine similarity, high-dimensional indexing, and enterprise search architectures.
What We're Looking For
We're looking for someone who combines deep technical expertise with strong architectural thinking and a passion for building production-ready AI solutions. The ideal candidate thrives in a fast-paced consulting environment, can engage directly with enterprise customers, and has proven experience delivering secure, scalable, and cost-optimized Generative AI applications on Snowflake.
Mandatory Skills
- Strong knowledge of Snowflake Cortex native capabilities, including Cortex Analyst, Cortex Agents, CoWork, Cortex Search, Cortex AI Functions, and Snowflake Intelligence.
- Hands-on experience designing, developing, deploying, and evaluating Agentic AI applications using Cortex Agents or similar agent frameworks is mandatory.
- Hands-on experience with AI evaluation frameworks, Cortex Guardrails, production deployment, AI governance, security, monitoring, and Snowflake AI cost optimization.
- Demonstrated ability to architect, build, deploy, and support enterprise-grade Generative AI applications on the Snowflake platform.
We are looking for someone who is experienced in building lasting relationships and is passionate about making meaningful contributions to our team. Don't be mistaken, this is a challenging career path but also highly rewarding. Are you up for the challenge? If so, stop reading and start applying.
Originally posted on Himalayas