Senior AM/ML Architect

🔥 21 hours ago

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

🏛️ Architect

👻 Ghost score 13%

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Logo of BlueCloud

BlueCloud

501 - 1000 employees

Founded 2004

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

BlueCloud is a global tech company that specializes in transforming businesses through data, analytics, and generative AI. Their services include data engineering, analytics, software design, DevOps, and data governance, leveraging revolutionary AI technology to enhance decision-making and efficiency. As a recognized Data Cloud Services Growth Partner, BlueCloud provides end-to-end cloud solutions that empower organizations to maximize their data potential and support digital transformation through scalable and high-performing global teams.

📋 Description

• Architect and deliver end-to-end AI/ML and Generative AI solutions for enterprise clients from discovery through production deployment • Design scalable LLM-based architectures, including RAG systems, vector search and embedding pipelines, prompt engineering frameworks, and agentic AI workflows • Lead architecture and actively drive implementation using Snowflake AI/ML capabilities • Design scalable integration architectures between enterprise data platforms and AI/ML ecosystems • Build AI/ML reference architectures, accelerators, and proofs of concept 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 through client workshops, discovery sessions, solution design and estimation, architecture presentations, and RFP responses • Evaluate emerging AI/ML technologies and define their applicability within enterprise ecosystems

🎯 Requirements

• 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, and agentic AI systems • Strong foundation in supervised/unsupervised learning, deep learning, NLP, and MLOps • Real-time, hands-on production project experience • Ability to design and deliver scalable AI architectures • Strong hands-on experience with the Snowflake AI/ML ecosystem, including Snowflake Cortex, Snowflake Intelligence, Snowflake Cortex Code, and Snowflake AI/ML • Experience building and deploying production AI solutions on Snowflake • Strong experience as a Solution / Enterprise Architect designing scalable distributed systems • Proven expertise integrating AI/ML systems across Snowflake and major cloud platforms • Strong understanding of API-based architectures, microservices, event-driven systems, and AI/ML data pipelines • Ability to design end-to-end production AI architectures spanning AWS, Azure, GCP, and other cloud platforms • 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

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