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AI/ML Architect - Talent Pipeline

Blue

Remote, USA

Full-time

Senior Level

Remote

Discovered 1 weeks ago

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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.

About The Role

BlueCloud is seeking an experienced AI/ML Architect to lead the architecture and delivery of enterprise-scale AI, machine learning, and Generative AI solutions.

This is a hands-on architecture role requiring recent experience designing, developing, integrating, and deploying production-grade AI solutions.

You will work directly with enterprise clients to translate complex business needs into scalable, secure, and governed architectures across Snowflake, cloud platforms, data ecosystems, and enterprise applications.

Key Responsibilities

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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.

AI/ML Architect - Talent Pipeline

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