Sr. Manager, Technical Architect – Enterprise AI Solutions

AI Leader Opportunity At Canadian Solar

At Canadian Solar, our vision is to make lives better by bringing electricity powered by the sun to millions of people worldwide. As a leading manufacturer of solar panels, inverters, and energy storage solutions, we've been an industry front-runner since our founding in 2001. Our commitment to sustainability is reflected in all parts of our organization as we navigate the complexities of a booming industry.

Throughout Canadian Solar's subsidiaries, we invest in our employees' growth. Our training programs and promotional opportunities ensure we all can continue to learn. We understand the importance of work-life balance and provide various flexible work options to support our employees' well-being. Join our team to "Make the Difference" by creating a lasting positive impact on the world and the communities where we operate.

Canadian Solar Inc. is seeking a highly experienced and strategic AI leader to drive the design, architecture, and implementation of enterprise AI solutions across global business operations. This role leads the development of scalable AI platforms, enterprise copilots, automation frameworks, and advanced analytics capabilities supporting Sales, Manufacturing, Supply Chain, Engineering, Finance, Cybersecurity, and Corporate Functions.

The ideal candidate combines strong technical depth in AI/ML and enterprise architecture with hands-on experience delivering production-grade AI solutions within large-scale global organizations. This individual will serve as both a technical leader and strategic advisor, helping define the company's AI roadmap while partnering closely with business executives, IT leadership, and cross-functional teams. This is a senior-level role based in North America with global responsibilities across Canadian Solar business units.

Preference to have someone near an office hub.

• 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/4
  
  HANA, 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

• Bachelor's or master's degree in computer science, Artificial Intelligence, Engineering, Data Science,…