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Strong employer brand but highly specialized senior LLM/prompt skills moderate applicant competition.
Highly specialized LLM/prompt architecture and regulated KYC/AML context significantly limits cross-industry fit.
Explicit 10+ years, 3+ years leadership, and extensive mandatory LLM/ML stack create strict filters.
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Own technical vision and delivery for team of 8–15 prompt engineers and AI/ML model developers focused on intelligent document processing and data extraction for KYC/AML.
Lead architecture design and implementation of multi-step AI workflows including classification, extraction, validation, human-in-the-loop checkpoints, and prompt lifecycle management using CI/CD and versioning.
Partner with governance, risk, and data teams to ensure explainability, auditability, and robust data pipelines while driving AI-native development practices.
10+ years in NLP/AI/ML or computational linguistics with 3+ years leading technical teams with direct reports.
Hands-on expertise in LLM internals, prompt architecture design/debugging, RAG system design, fine-tuning (LoRA/QLoRA, RLHF/DPO), and Python ML engineering (PyTorch, Hugging Face, LangChain/LlamaIndex, vector DBs).
Experience building AI evaluation systems handling hallucinations, prompt failures, structured output enforcement, and model selection/benchmarking (GPT-4/Claude/Llama/Mistral).
Work Experience Required: 10+ years; Advanced degree preferred but not mandatory; Notice period: Not explicitly mentioned in the JD.
Senior technical leader comfortable guiding interdisciplinary AI teams in ambiguous, rapidly evolving environments with strong communication to compliance and business stakeholders.
Deep domain knowledge or strong interest in KYC/AML or financial document processing workflows involving entity extraction and sanctions screening.
Experienced in architecting operational AI systems balancing accuracy, latency, cost, robustness, and regulatory requirements with hands-on skill in state-of-the-art LLM technologies and production-grade pipelines.