You will work closely with stakeholders to design and deliver AI-driven solutions that enhance business efficiency, streamline processes, and unlock value from data, while ensuring scalability, quality, and cost-effectiveness.

Responsibilities

• Lead the end-to-end lifecycle of AI solutions, from data ingestion and embedding generation to retrieval, reasoning, and response generation
• Collaborate with AI/ML engineers to productionize models and LLM-based solutions, ensuring reliability, scalability, and performance
• Drive technical discovery and solution assessment, analyzing possible AI implementations, clarifying their architecture, and identifying risks and improvement opportunities
• Evaluate and optimize RAG pipelines, including retrieval quality, chunking strategies, embeddings, and hybrid search approaches
• Assess scalability, multilingual capabilities, and cost-performance trade-offs of AI systems
• Advise on AI arc...