AI Architect

Vaga não está no LinkedIn

🕒 Maio 29

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

💵 $90 - $92 / hora

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Engenheiro de IA

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Global Channel Management, Inc.

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🎯 Recrutamento

🤝 B2B

☁️ SaaS

Recruitment • B2B • SaaS

A Global Channel Management, Inc. é uma empresa de tecnologia especializada em serviços de recrutamento e aumento de equipe. Com mais de uma década de experiência, sua equipe de gerentes de contas e recrutadores enfrenta os desafios que as organizações encontram ao buscar talentos qualificados para atender às necessidades dinâmicas de pessoal. Eles fornecem soluções para reduzir os custos com treinamento e mão de obra, garantindo que as empresas tenham acesso aos melhores talentos adequados às suas demandas operacionais.

Descrição

• Provide architectural oversight across AI/ML projects to ensure consistency, performance, and maintainability • Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling • Support development teams on model selection, training pipelines, prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies • Mentor engineers, analysts, and product teams on AI best practices.

🎯 Requisitos

• 10+ years' experience enterprise-wide AI programs or platform buildouts • Strong understanding of data governance, privacy, security, and model risk management • Prior experience with large-scale transformation programs • Bachelor's degree in Computer Science, Engineering, or a related technical field • 5+ years of experience in application development, engineering, or solution delivery roles • 1+ years of hands-on experience in AI/ML engineering, data science, or AI solution architecture • Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio/Agent Builder, or comparable generative AI ecosystems) • Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design) • Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI/ML tooling • Experience with MLOps/LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores • Strong hands-on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud foundry, Copilot Studio Agent builder, low code/no code platforms, and generative AI tools • Background in RAG systems, model fine-tuning, embeddings, vector storage, and retrieval optimization.