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Sr. Manager, Technical Architect - Enterprise AI Solutions

Canadian Solar Inc.

powered by the sun to millions of people worldwide. solar panels, inverters, and energy storage solutions, we've been an industry
reflected in all parts of our organization as we navigate the complexities of a
Energy, MSS and CSI Solar Co., Our training
understand the importance of work-life balance and provide various flexible work
communities where we operate. 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,
Manufacturing, Supply Chain, Engineering, Finance, Cybersecurity, and Corporate
The ideal candidate combines strong technical depth in AI/ML and
enterprise architecture with hands-on experience delivering production-grade AI
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
global responsibilities across Canadian Solar business units. 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/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
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
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,
enterprise software engineering, solution architecture, AI/ML engineering, or
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
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
comprehensive benefits and performance bonus package based on an annual
Retirement Plan, medical/dental/life/disability program, PTO and sick days. annual base salary only, without regard to location, and does not include bonus
color, religion, sex, national origin, sexual orientation, disability, or
veteran status. #dedicated team of sales and operations experts work with retailers and strategic
distribution partners all over the globe to provide our residential, commercial
in all parts of our organization as we navigate the complexities of a booming
Vacancy posted 4 days ago
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