AI/ML Architect

🔥 9 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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BlueCloud

WebsiteLinkedInAll Job Openings

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 from discovery through production deployment. • Design production-grade RAG systems, vector search solutions, embedding pipelines, AI agents, copilots, and multi-agent workflows. • Lead hands-on implementation using Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, Snowpark ML, and related Snowflake AI capabilities. • Design scalable ML and LLM pipelines supporting training, inference, evaluation, monitoring, and governance. • Integrate AI solutions with AWS, Azure, or GCP, as well as enterprise applications, APIs, ETL/ELT platforms, streaming systems, and third-party AI services. • Define reusable AI reference architectures, accelerators, technical standards, and governance frameworks. • Provide technical leadership through architecture reviews, code reviews, design sessions, and production-readiness assessments. • Lead client discovery workshops, solution design, effort estimation, technical presentations, proof-of-concepts, and pre-sales activities. • Collaborate with data engineers, ML engineers, application teams, architects, and business stakeholders throughout delivery.

🎯 Requirements

• 10+ years of experience in solution architecture, AI/ML architecture, enterprise architecture, or technical delivery. • Strong recent hands-on experience building and supporting production AI/ML and Generative AI solutions. • Proven experience with LLMs, RAG, vector databases, embedding pipelines, agentic AI, prompt engineering, and AI evaluation. • Strong understanding of machine learning, deep learning, NLP, MLOps, and LLMOps. • Hands-on experience with Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, Snowpark ML, and Snowflake Native Apps. • Strong architecture experience across Snowflake and at least one major cloud platform, preferably AWS or Azure. • Experience integrating AI platforms with APIs, microservices, SaaS applications, enterprise systems, Kafka, and event-driven architectures. • Strong understanding of AI security, governance, compliance, observability, and model monitoring. • Excellent client-facing communication, technical leadership, and stakeholder-management skills. • Ability to balance strategic architecture ownership with hands-on technical execution.

🏖️ Benefits

• 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. • 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus. • Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more.