#635 Senior AM/ML Architect - Costa Rica
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 β delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40β50% 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 β and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10Γ client growth.
We don't just strategize β 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
This role requires you to be in Colombia. If that means relocating or flying in, it is worth checking fares before you commit to a start date.
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