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Tier-1 brand and ML role increase competition, but niche LLM plus seniority reduces available applicants.
Role demands specialized LLM expertise and financial KYC/AML regulatory knowledge, limiting cross-industry transferability.
Multiple specific LLM skills, 10+ years and leadership requirement create highly selective shortlisting.
Own the technical vision and delivery of AI/ML prompt engineering and model development teams focused on intelligent document processing for KYC/AML.
Architect complex multi-step AI workflows incorporating human-in-the-loop checkpoints and maintain prompt lifecycle management with versioning, CI/CD, and evaluation frameworks.
Collaborate across governance, risk, and data engineering to ensure auditable AI systems and drive AI-native development practices amid evolving regulations.
10+ years NLP/AI/ML or computational linguistics experience, including 3+ years leading technical teams with direct reports.
Hands-on expertise in LLM internals, prompt architecture design/debugging, RAG system design, and fine-tuning techniques.
Proficiency with Python ML engineering (PyTorch, Hugging Face, LangChain/LlamaIndex), vector databases, and API development.
Work Experience Required: 10+ years in relevant AI/ML domain with leadership experience.
Experienced leader able to navigate ambiguity, balancing technical trade-offs and communicating across compliance, risk, and business stakeholders.
Deep domain knowledge or experience in KYC/AML or financial document processing and handling complex AI applications in regulated environments.
Track record of building scalable, production-grade AI systems with strong evaluation and failure mode management capabilities.