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Área Metropolitana de San José, Costa Rica
Remote only
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
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
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
