Principal Agentic AI Architect

Tasks

• Define a long‐term technology strategy for Financial Crime modernization initiatives.
• Lead architecture and implementation of AI‐powered investigation platforms, decision engines, and agentic workflows.
• Establish engineering standards, design patterns, and reference architectures across all Financial Crime platforms.
• Review architecture, security, scalability, resiliency, and performance decisions at the highest level.
• Conduct technical design reviews and influence enterprise architecture direction.
• Design and implement GenAI and Agentic AI solutions for investigator copilots, alert triage, risk assessment, entity resolution, SAR narrative generation, customer screening and knowledge retrieval.
• Evaluate and implement modern AI frameworks including LLM orchestration, agent frameworks, vector databases, RAG, model routing, guardrails, and observability.
• Partner with Data Science teams to operationalize AI/ML models into scalable production platforms.
• Write and review high‐quality production code when needed, lead proof‐of‐concepts, rapid prototyping, and technical spikes.
• Mentor senior engineers and set best practices for software engineering, automation, CI/CD, DevSecOps, testing and operational excellence.
• Resolve complex technical challenges across multiple platforms and teams.
• Lead migration from legacy systems to cloud‐native microservices, event‐driven systems and API‐first platforms.
• Design enterprise capabilities for real‐time risk assessment, customer screening, case management, regulatory reporting, AI orchestration, data ingestion, and processing.
• Collaborate with Product, Compliance, Risk, Operations, Data Science and Engineering leadership to translate b

Location

• Charlotte, NC