Senior AI & Document Intelligence Lead - Responsible AI (PL5550)

Paralucent is seeking a Senior AI & Document Intelligence Lead to design and validate AI-assisted capabilities for high-stakes, regulated workflows. You will lead OCR, classification, metadata extraction, summarization and recommendation use cases while ensuring source grounding, confidence controls, human validation, privacy, security, traceability and reliable fallback. This is not an experimentation-only role; it requires disciplined movement from evaluation to controlled production use. What You'll Do - Define the AI/document-intelligence architecture, providers, models, orchestration, data boundaries and deployment options. - Design OCR, document classification, metadata extraction, language detection, completeness checks, summarization and recommendation capabilities. - Create representative evaluation datasets covering languages, document types, scan quality, ambiguity and edge cases. - Define measures such as precision, recall, classification accuracy, confidence calibration, false negatives, unsupported outputs and human acceptance. - Implement source grounding, model/version logging, prompt/template governance, review/override flows and fallback to human processing. - Partner with business and legal/control stakeholders to define permitted and prohibited AI actions. - Ensure sensitive information, prompts, embeddings, retrieval content and logs are handled according to approved privacy/security requirements. - Support Responsible AI reviews, model changes, monitoring, drift/error analysis and incident response. - Clearly distinguish production-proven, configurable, developmental and experimental capability. - Coach engineering and QA teams on safe implementation and AI-specific testing. What Success Looks Like - AI use cases are selected based on measurable operational value and risk, not novelty. - Evaluation evidence supports every production recommendation and known limitations are visible. - Low-confidence, ambiguous and sensitive outcomes reliably route to qualified human validation. - AI outputs remain traceable to source content and human decisions. - Models can be changed, monitored or disabled without disrupting the controlled workflow.