Solution Architect-Chatbot

We are seeking an experienced AI Chatbot Architect to lead the design, development, and deployment of advanced AI-driven chatbot solutions. The ideal candidate will have deep expertise in AI/ML, large language models (LLMs), agentic AI, and scalable system design. You will collaborate with cross-functional teams to deliver context-aware, secure, and high-performance AI chatbots that align with business objectives. Key Responsibilities: AI Chatbot Strategy and Planning: Collaborate with business stakeholders to understand chatbot use cases, goals, and requirements Identify key user journeys and define chatbot intents, entities, and conversation flows Define the AI roadmap and align it with the organization's strategic objectives Stay updated on emerging AI trends, technologies, and best practices Solution Design and Architecture: Design end-to-end AI chatbot architectures Ensure scalability, security, and performance of AI solutions Select appropriate AI tools, platforms, and frameworks based on project requirements Ensure chatbot responses are accurate, context-aware, and aligned with the brand's tone and style Collaboration and Leadership Work with cross-functional teams (e.g. developers, business, etc.) and provide technical guidance Act as a liaison between technical teams, business stakeholders, and clients to ensure alignment Compliance and Risk Management: Ensure AI solutions comply with regulatory requirements and organisational standards. Identify and mitigate risks associated with AI implementations, such as bias or security vulnerabilities. Requirements: 8 years in AI/ML development and deployment. 3 years in an architecture/designer role. Hands-on experience in designing AI architectures for large-scale applications. Familiarity with AI best practices and regulatory compliance. Strong knowledge of frameworks or tools for agentic AI (e.g., LangChain, semantic kernel, etc.) Experience with RAG and agentic AI. Experience in fine-tuning and deploying LLMs. Understanding of prompt engineering and techniques to reduce hallucinations Knowledge of cloud platforms (e.g. Azure, Google Cloud, etc.) and AI services. Expertise in designing scalable and distributed systems. Familiarity with microservices architecture and API integration. Strong ability to analyse complex business problems and translate them into AI solutions. Excellent communication skills to convey technical concepts to non-technical stakeholders. Strategic thinking and innovation. Attention to detail and a commitment to quality. Ability to work in a fast-paced, dynamic environment. Education: Bachelor’s degree/University degree or equivalent experience

Location: Toronto, CA

Posted Date: 6/13/2025