高级AM/ML架构师 - 哥斯达黎加
#635 Senior AM/ML Architect - Costa Rica
BlueCloud 是 Snowflake 金牌合作伙伴，2026 年 CoCo 候选者中的 Snowflake 年度合作伙伴。我们帮助企业组织从碎片化的传统系统迁移到统一、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，完成超过 200 个企业转型项目，专注于 Snowflake。我们结合咨询导向的思维与 AI 驱动的加速器，将数月的工作转化为几周的结果。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。
我们正在寻找一位经验非常丰富且技术能力强大的高级 AI/ML 架构师，负责企业 AI 解决方案的端到端架构、设计和交付。
该职位需要在 AI/ML 和生成式 AI（包括基于 LLM 的系统）方面有深入的实践经验，具备强大的解决方案架构能力，并有在复杂企业环境中交付生产级 AI 系统的实证经验。
理想的候选人应作为技术权威和实际建造者，能够将模糊的业务问题转化为跨 Snowflake、AWS 和 Azure 生态系统的可扩展 AI 架构和生产就绪的解决方案。
您应具备 ML 工程、云架构和企业集成方面的专业知识，并对大规模构建生成式 AI 系统充满热情。
主要职责
为企业的客户提供从发现到生产部署的端到端 AI/ML 和生成式 AI（基于 LLM）解决方案
设计并指导可扩展的基于 LLM 的解决方案架构，包括：
RAG（检索增强生成）系统
向量搜索和嵌入管道
提示工程框架
代理 AI 工作流和编排模式
领导架构设计并积极推动利用 Snowflake AI/ML 能力的实施
设计企业数据平台与 AI/ML 生态系统之间的可扩展集成架构
为客户项目构建可扩展的 AI/ML 参考架构、加速器和概念验证
与数据工程、分析和业务相关方合作，将需求转化为生产级 AI 系统
提供技术领导力，
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.
We are seeking a highly experienced and technically strong Senior AI/ML Architect to lead end-to-end architecture, design, and delivery of enterprise AI solutions.
This role requires deep hands-on expertise in AI/ML and Generative AI (including LLM-based systems), strong solution architecture capabilities, and proven experience delivering production-grade AI systems in complex enterprise environments.
The ideal candidate will act as a technical authority and hands-on builder, capable of translating ambiguous business problems into scalable AI architectures and production-ready solutions across Snowflake, AWS, and Azure ecosystems.
You should bring strong expertise across ML engineering, cloud architecture, and enterprise integration, along with a passion for building GenAI systems at scale.
Key Responsibilities
Architect and deliver end-to-end AI/ML and Generative AI (LLM-based) solutions for enterprise clients from discovery to production deployment
Design and guide scalable LLM-based solution architectures, including:
RAG (Retrieval-Augmented Generation) systems
Vector search and embedding pipelines
Prompt engineering frameworks
Agentic AI workflows and orchestration patterns
Lead the architecture and actively drive implementation leveraging Snowflake AI/ML capabilities
Design scalable integration architectures between enterprise data platforms and AI/ML ecosystems.
Build scalable AI/ML reference architectures, accelerators, and proof-of-concepts for client engagements
Collaborate with data engineering, analytics, and business stakeholders to translate requirements into production-grade AI systems
Provide technical leadership, architectural governance, and mentorship to engineering teams
Support pre-sales and solutioning activities, including:
Client workshops and discovery sessions
Solution design and estimation
Architecture presentations and RFP responses
Evaluate emerging AI/ML technologies and define their applicability within enterprise ecosystems
Required Qualifications
AI/ML & Generative AI (Must Have)
10+ years of experience in AI/ML architecture, solution design, and delivery
Strong hands-on experience in Generative AI and LLM-based systems
Proven experience building production-grade:
RAG systems
Vector databases and embedding pipelines
Fine-tuning and model adaptation workflows
Agentic AI systems
Strong foundation in AI/ML concepts: supervised/unsupervised learning, deep learning, NLP, and MLOps
Must have real-time, hands-on production project experience
Ability to design and deliver scalable AI architectures
Snowflake (Mandatory)
Strong hands-on experience with Snowflake AI/ML ecosystem, including:
Snowflake Cortex (LLM and ML functions)
Snowflake Intelligence
Snowflake Cortex Code
Snowflake AI/ML
Experience building and deploying production AI solutions on Snowflake
Solution Architecture & Integration (Must Have)
Strong experience as a Solution / Enterprise Architect designing scalable distributed systems
Proven expertise in integrating AI/ML systems across Snowflake and major cloud platforms.
Strong understanding of:
API-based architectures
Microservices
Event-driven systems
AI/ML data pipelines
Ability to design end-to-end production AI architectures spanning multiple cloud platforms (AWS, Azure, GCP etc.)
Cloud, AI/ML & Generative AI Platforms (Preferred Experience, not mandatory)
AWS: SageMaker, Bedrock, Lambda, Step Functions, S3, Glue
Azure: Azure OpenAI Service, Azure ML, Cognitive Services, Data Factory
GCP: Vertex AI (AI/ML & GenAI), BigQuery ML
Good to Have
Experience with Databricks AI/ML ecosystem (MLflow, Feature Store, Model Serving)
Experience with DataRobot or similar AutoML platforms
Prior pre-sales / consulting experience in enterprise client engagements
Snowflake certifications (SnowPro Advanced or equivalent)
AWS or Azure AI certifications
Experience in regulated industries (financial services, healthcare, manufacturing)
Understanding of AI governance, responsible AI, model monitoring, and compliance frameworks
GCP: Vertex AI (AI/ML & GenAI), BigQuery ML
Communication & Leadership
Excellent verbal and written communication skills
Ability to present complex AI architectures to executives, business stakeholders, and technical teams
Strong facilitation skills for technical workshops, design sessions, and whiteboarding exercises
Experience leading cross-functional teams and driving architectural alignment across multiple stakeholders
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