Bilingual Senior Solutions Architect designing end - to - end enterprise solutions for financial services. Collaborating with stakeholders in French and English - speaking regions to develop scalable architectures.
WC
Onsite Senior AI Solutions Architect – Azure
Posted 22 minutes ago
About the role
- Senior AI Solutions Architect designing and implementing enterprise AI solutions using Microsoft Azure. Collaborating with stakeholders and building scalable AI/ML pipelines.
Responsibilities
- Design and implement enterprise AI solutions on Microsoft Azure, leveraging services such as Azure OpenAI Service, Azure Machine Learning, and Azure AI Search to support intelligent applications and automation.
- Build and maintain scalable AI/ML pipelines and MLOps workflows using Azure-native tools (or equivalent), enabling reliable model training, deployment, monitoring, and lifecycle management.
- Develop retrieval-augmented generation (RAG) solutions, integrating enterprise data sources with large language models to enable contextual knowledge assistants and intelligent automation.
- Collaborate with business and technology stakeholders to translate business requirements into AI solution architectures, delivering measurable improvements in operational efficiency, decision intelligence, and customer experience.
- Architect and develop AI-enabled applications, chatbots, and intelligent agents using Microsoft Copilot Studio, Azure Bot Service, and the Microsoft Power Platform ecosystem.
- Implement secure and compliant AI deployments within Azure environments, incorporating private networking, identity-based access controls, and responsible AI governance practices.
- Integrate AI capabilities with enterprise platforms such as ERP, analytics, and workflow systems, ensuring seamless data flow and scalable service integration.
- Establish and enforce best practices for AI development, including prompt engineering, model evaluation, versioning, performance monitoring, and cost optimization.
- Evaluate emerging AI frameworks, libraries, and tools to continuously improve solution performance and accelerate AI innovation within the enterprise.
- Provide technical leadership and mentorship to development teams on modern AI development patterns, including LLM orchestration, vector search architectures, and enterprise AI integration.
Requirements
- 8+ years experience in Microsoft Azure AI ecosystem, including Azure OpenAI Service, Azure Machine Learning, Azure AI Search, and Azure data services.
- Experience with LLM architectures, prompt engineering, retrieval-augmented generation (RAG), and vector-based semantic search.
- 3+ years of experience with Large Language Models (LLM) such as OpenAI, Azure OpenAI, Hugging Face, Anthropic, etc.
- 5+ years of experience building production-grade AI assistants, chatbots, and intelligent agents using generative AI frameworks and orchestration tools.
- Hands-on experience with Microsoft Copilot ecosystem, including Microsoft Copilot Studio and the Power Platform.
- Proficiency in Python, SQL, and modern data engineering frameworks used in AI development pipelines.
- MLOps principles, including model lifecycle management, CI/CD for ML, monitoring, and drift detection.
- Experience integrating AI solutions with enterprise applications such as ERP, analytics platforms, and business process systems.
- Strong understanding of security, compliance, and responsible AI governance, including data privacy and model transparency practices.
- You will be required to work across engineering, data, and business teams to deliver scalable AI solutions.
Benefits
- Comprehensive Health and Income Protection Benefits
- 401(k) Savings Plan
- Paid Vacations for Qualifying Positions
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