AI/ML Architect

🕒 vor 7 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

🔴 Experte

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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BlueCloud

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2004

💼 Beratung

📣 Marketing

📦 Logistik

Consulting • Marketing • Logistics

BlueCloud ist ein globales Technologieunternehmen, das sich darauf spezialisiert hat, Unternehmen durch Daten, Analysen und generative KI zu transformieren. Zu ihren Dienstleistungen gehören Datenengineering, Analytik, Softwaredesign, DevOps und Datenverwaltung, wobei revolutionäre KI-Technologie genutzt wird, um Entscheidungsfindung und Effizienz zu verbessern. Als anerkannter Wachstumspartner für Data Cloud Services bietet BlueCloud umfassende Cloud-Lösungen, die Organisationen befähigen, ihr Datenpotenzial maximal auszuschöpfen und die digitale Transformation durch skalierbare und leistungsstarke globale Teams zu unterstützen.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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.