This is a remote position.

• Lead the design and delivery of multiple Generative AI use cases
  
• Define end-to-end architecture for RAG systems (embeddings, chunking, retrieval, orchestration)
  
• Guide cross-functional teams including data scientists, ML engineers, and backend teams
  
• Shape guardrails, evaluation logic, metrics, and enterprise AI controls
  
• Provide architectural leadership for voice assistants (TTS/STT + LLM reasoning), document intelligence, and NL-to-SQL assistants
  
• Collaborate with business stakeholders to align scope, outcomes, and delivery expectations
  
• Support onsite workshops and architectural reviews when required
  
• Ensure solutions meet standards for performance, compliance, security, and maintainability

Requirements

• Strong STEM background with experience delivering enterprise AI or ML solutions
  
• Proven hands-on delivery in Generative AI, preferably within Azure ecosystems
  
• Deep understanding of RAG patterns, embeddings, prompting, and LLM reasoning flows
  
• Experience leading technical teams and coordinating multi-stream AI programmes
  
• Strong communication skills and ability to influence senior stakeholders
  
• Ability to translate business needs into scalable AI architectures and execution plans

• Familiarity with LLM orchestration frameworks and enterprise AI governance
  
• Exposure to TTS/STT technologies for conversational assistants
  
• Experience with natural language interfaces and conversational analytics
  
• Understanding of AI evaluation frameworks and operational guardrails

Benefits

• Solid, competitive salary
  
• Work in multinational environment on international projects
  
• Comprehensive healthcare
  
• Long-term B2B contract with stable project pipeline
  
• Fully remote model