Senior AI Officer at Kazakhtelecom JSC

Senior AI Officer
Kazakhtelecom JSC
1,000,000 to 2,000,000 KZT NET per month
Astana, office

Kazakhtelecom JSC is a leading telecommunications company in Kazakhstan. Developing a corporate AI-agent platform with RAG assistants for internal documents and business processes.

Responsibilities:
• Formulate AI strategy and roadmap for the business direction
• Identify the most promising applications of AI
• Independently launch initial prototypes and AI pilots
• Quickly test hypotheses and demonstrate measurable results
• Create AI agents, RAG solutions, and AI automation
• Form and prioritize a portfolio of AI initiatives
• Collaborate with FDE and AI team to bring successful pilots to production and scaling
• Reimagine business processes considering AI capabilities
• Work with business leaders to advocate for AI initiatives
• Stay updated on AI technology developments and apply new approaches in real business cases.

Requirements:
• 7+ years of professional experience in AI/ML technologies, product development, or digital transformation
• Practical experience in launching AI/ML or technology products
• Strong understanding of LLM, Generative AI, AI Agents, and RAG
• Ability to independently assemble a working AI prototype
• Product mindset and focus on quick results
• Strategic thinking and ability to form AI roadmap
• Ability to connect technologies with specific business effects
• Experience working with executives and top management
• High independence and responsibility for results
• Practical experience with OpenAI, Claude, Gemini, Llama, Qwen, or similar LLM
• Experience with LLM API, Prompt Engineering, Tool/Function Calling
• Experience creating AI agents using LangChain, LangGraph, LlamaIndex, or similar
• Practical understanding of RAG, embeddings, vector databases
• Use of AI coding tools: Codex, Cursor, Claude Code, or similar
• Proficiency in Python, REST API, SQL for prototype development
• Experience with n8n, Make, or other automation tools
• Understanding of LLM operation principles, model costs, and corporate data security issues.