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