C

Canadian Solar

Designs, manufactures, and sells solar modules

Technical Architect Senior Manager - Technical Architect, Enterprise AI Solutions

Full-TimeUpdated on 10/23/2026
No salary listed
Senior, Expert
Bachelor's, Master's
Shelbyville, KY, USA+4 moreMore locations: Jeffersonville, IN, USA | Walnut Creek, CA, USA | Kitchener, ON, Canada | United States
HybridHybrid; preference for candidates near an office hub.
Software EngineeringAI Application Engineering

About the job

Requirements
  • A bachelor's or master's degree in computer science, Artificial Intelligence, Engineering, Data Science, or a related discipline is required; an advanced degree is preferred.
  • At least 8 years of experience in enterprise software engineering, solution architecture, AI/ML engineering, or related technical leadership roles.
  • At least 3 years of hands-on experience designing and deploying Generative AI or 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, Retrieval-Augmented Generation (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.
Responsibilities
  • 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 with 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 Generative AI solutions using platforms such as OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, and Azure AI Services.
  • Design Retrieval-Augmented Generation 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 large language model 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 technical and executive audiences.
Desired Qualifications
  • Experience with data engineering technologies including SQL, Spark, Databricks, or equivalent platforms.
  • Industry experience in Renewable Energy, Manufacturing, Industrial Technology, Utilities, Energy Storage, or Global Supply Chain Operations.

About the company

Canadian Solar manufactures solar photovoltaic modules and manages large-scale solar energy projects for residential, commercial, and utility customers. These products work by converting sunlight into electricity using high-efficiency cell designs, while the company provides the necessary kits and maintenance services to keep these systems running. It distinguishes itself through a massive portfolio of over 1,500 patents and a top "bankability" rating, which signals to investors that its technology is a reliable financial bet compared to other manufacturers. The company's goal is to improve the performance of renewable energy by developing more efficient solar hardware and providing end-to-end support for power plant development.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Cambridge, Canada

Founded

2001

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Simplify's Take

What believers are saying

  • August 27, 2026 revenue hit $1.2 billion, with 13.9% gross margin.
  • September 2026 guidance targets 3.5-3.8 GW modules and 3.4-3.8 GWh storage.
  • By 2029, U.S. module backlog exceeds 13 GWp, worth $4.5 billion.

What critics are saying

  • March 2026 First Solar's USITC case seeks exclusion orders against Canadian Solar TOPCon modules.
  • September 2026 SEC filing flags Section 232 polysilicon tariffs and late-2026 shocks.
  • Persistent US trade barriers strand Canadian Solar's 10 GW Texas buildout.

What makes Canadian Solar unique

  • August 2026, Canadian Solar held 21.7 GWp solar and 84.1 GWh storage pipeline.
  • July 2026 Jeffersonville opened North America's largest crystalline silicon solar cell facility.
  • Canadian Solar pairs modules, storage, and project sales across Recurrent Energy.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Life Insurance
  • Disability Insurance
  • 401(k) Retirement Plan
  • Flexible Work Hours
  • Paid Vacation