Lead the design and delivery of Generative AI solutions, defining end‑to‑end RAG architecture and guiding cross‑functional teams across conversational AI, document intelligence, and natural language data interfaces.
About the role
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