Senior Manager, Technical Architect – Enterprise AI Solutions

🕒 Maio 20

🐎 Kentucky, Texas – Remoto

🐎 Kentucky – Remote 🤠 Texas – Remote

💵 $130.000 - $185.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

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Canadian Solar Inc.

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 2001

🏗️ Construção

📦 Logística

⚡ Energia

Construction • Logistics • Energy

Canadian Solar Inc. é uma empresa global especializada em tecnologias de energia solar e soluções de armazenamento de energia. A empresa oferece uma ampla gama de produtos solares, incluindo módulos solares, inversores de utilidade e sistemas de armazenamento de energia para projetos residenciais e em grande escala. A Canadian Solar tem uma presença internacional substancial, com clientes ativos em mais de 160 países e subsidiárias em 23 países distribuídos por seis continentes. A empresa é comprometida com a sustentabilidade e gestão responsável da cadeia de suprimentos, garantindo que seus produtos sejam fabricados sem o uso de formas proibidas de trabalho. Com capacidades de manufatura significativas na Ásia e nas Américas, a Canadian Solar é um ator chave na indústria de energia renovável, apoiando a transição para energia limpa através de plantas solares inovadoras e soluções de armazenamento de energia.

Descrição

• Define and lead enterprise AI architecture standards, frameworks, and best practices • Design scalable AI platforms supporting Generative AI, Agentic AI, Machine Learning, and advanced analytics • Establish enterprise governance for AI security, compliance, model lifecycle management, and responsible AI adoption • Partner, collaborate and influence senior leadership to identify high-value AI use cases aligned with business priorities and operational efficiency goals • Lead the end-to-end design and deployment of enterprise AI solutions and intelligent automation initiatives • Architect and implement AI-powered copilots, knowledge assistants, and workflow automation solutions • Integrate AI capabilities into enterprise applications including Microsoft Dynamics 365, SAP S/4HANA, Salesforce, Service Platforms, and custom applications • Design scalable APIs, microservices, and AI orchestration frameworks • Lead implementation of enterprise GenAI solutions leveraging platforms such as OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, and Azure AI Services • Design Retrieval-Augmented Generation (RAG) architectures, vector databases, prompt engineering frameworks, and enterprise knowledge management solutions • Build secure enterprise AI integrations with internal data platforms and business systems • Evaluate and optimize LLM performance, cost, governance, and scalability • Collaborate with data engineering teams to establish scalable AI/ML pipelines and data architectures • Design enterprise-grade MLOps and LLMOps capabilities including CI/CD, monitoring, observability, and model governance • Ensure reliability, scalability, security, and operational readiness of AI platforms • Support cloud-native AI deployments across Azure, AWS, and Google Cloud • Serve as technical lead and mentor for AI engineers, developers, and solution architects • Partner with business stakeholders across Manufacturing, Sales, Operations, Finance, and Supply Chain to translate business requirements into AI-enabled solutions • Drive vendor evaluations, proof-of-concepts, and strategic partnerships related to AI technologies • Communicate technical concepts effectively to both technical and executive audiences

🎯 Requisitos

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Engineering, Data Science, or related discipline • Advanced degree preferred • 8+ years of experience in enterprise software engineering, solution architecture, AI/ML engineering, or related technical leadership roles • 3+ years of hands-on experience designing and deploying Generative AI / LLM-based enterprise solutions • Experience leading enterprise-scale AI transformation initiatives in global organizations • Strong experience with cloud-native architectures and enterprise integration platforms • Strong proficiency in Python and modern AI/ML frameworks • Experience with OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, LangChain, Semantic Kernel, or equivalent AI ecosystems • Experience with vector databases, RAG architectures, AI orchestration frameworks, and prompt engineering • Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks • Strong understanding of enterprise API integration, microservices, and distributed architectures • Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices • Familiarity with enterprise security and AI governance requirements • Experience integrating AI solutions with SAP S/4HANA, Microsoft Dynamics 365, Power Platform, or similar enterprise platforms • Experience with data engineering technologies including SQL, Spark, Databricks, or equivalent platforms is preferred • Industry experience in Renewable Energy, Manufacturing, Industrial Technology, Utilities, Energy Storage, Global Supply Chain Operations preferred.

🏖️ Benefícios

• 401(k) Retirement Plan • medical/dental/life/disability program • PTO and sick days