• Design and deploy production-grade Agentic AI systems where LLMs serve as operational components to reason, explain, and make decisions within live workflows • Architect intelligent pipelines combining classical tools (OCR, fuzzy matching, structured query) with LLM-based validation, confidence scoring, fallback logic, and automated logging for auditability and continuous improvement • Translate ambiguous mission requirements into well-scoped AI system designs; apply prompt and context engineering, RAG, semantic search, and fine-tuning as appropriate; leverage AWS services including Bedrock, Textract, Lambda, and Step Functions • Use generative AI tooling to accelerate the full development lifecycle: requirements analysis, code generation, test coverage, documentation, and deployment scaffolding • Document and quality-assure all project work prior to client delivery; attend meetings with agency staff, vendors, and external stakeholders as needed • Lead or contribute to business development, internal tool-building, mentorship, or publication to strengthen Peregrine's AI capabilities and market position