#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 — 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 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.