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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.
- 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
Seniority level
Seniority level
Mid-Senior level
Employment type
Job function
Job function
Information TechnologyIndustries
IT Services and IT Consulting
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