Senior Manager, Technical Architect – Enterprise AI Solutions

🕒 vor 2 Monaten

🐎 Kentucky, Texas – Remote

🐎 Kentucky – Remote 🤠 Texas – Remote

💵 $130.000 - $185.000 / Jahr

⏰ Vollzeit

🟠 Senior

🔙 Backend-Entwickler

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mail-Benachrichtigung für neue Jobs einrichten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

Canadian Solar Inc.

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 2001

🏗️ Bauwesen

📦 Logistik

⚡ Energie

Construction • Logistics • Energy

Canadian Solar Inc. ist ein weltweit agierendes Unternehmen, das sich auf Solartechnologien und Energiespeicherlösungen spezialisiert hat. Das Unternehmen bietet eine breite Palette von Solarprodukten an, einschließlich Solarmodule, Wechselrichter für Versorgungsunternehmen und Energiespeichersysteme für sowohl private Haushalte als auch für Projekte im Versorgungsmaßstab. Canadian Solar besitzt eine bedeutende internationale Präsenz mit aktiven Kunden in über 160 Ländern und Tochtergesellschaften in 23 Ländern auf sechs Kontinenten. Es ist dem Thema Nachhaltigkeit und einem verantwortungsvollen Umgang mit der Lieferkette verpflichtet und stellt sicher, dass seine Produkte ohne verbotene Formen der Arbeit produziert werden. Mit bedeutenden Produktionskapazitäten in Asien und Amerika ist Canadian Solar ein wichtiger Akteur in der erneuerbaren Energiebranche und unterstützt den Übergang zu sauberer Energie durch innovative Solaranlagen und Energiespeicherlösungen.

Beschreibung

• 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

🎯 Anforderungen

• 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.

🏖️ Vorteile

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