Principal Agentic AI Architect

Job Title: Principal Agentic AI Architect Location: Charlotte, NC (Day 1 Onsite) Key Responsibilities Technical Leadership & Architecture • Define and drive the long-term technology strategy for Financial Crime modernization initiatives. • Lead the architecture and implementation of AI-powered investigation platforms, decisioning engines, and agentic workflows. • Establish engineering standards, design patterns, and reference architectures across Financial Crime platforms. • Serve as the highest-level technical reviewer for architecture, security, scalability, resiliency, and performance decisions. • Lead technical design reviews and influence enterprise architecture direction. AI & Agentic Engineering • Design and implement GenAI and Agentic AI solutions for: • Investigator copilots • Alert triage and disposition • Risk assessment • Entity resolution • SAR narrative generation • Customer screening • Knowledge retrieval and decisioning • Evaluate and implement modern AI frameworks, including LLM orchestration, agent frameworks, vector databases, RAG architectures, model routing, guardrails, and observability. • Partner with Data Science teams to operationalize AI/ML models into scalable production platforms. Engineering Excellence • Write and review high-quality production code when necessary. • Lead proof-of-concepts, rapid prototyping, and technical spikes. • Mentor senior engineers and establish software engineering best practices. • Drive automation, CI/CD, DevSecOps, testing, and operational excellence. • Resolve complex technical challenges across multiple platforms and teams. Platform Modernization • Lead migration from legacy Financial Crime applications to cloud-native architectures. • Architect scalable microservices, event-driven systems, and API-first platforms. • Design enterprise capabilities for real-time risk assessment, customer screening, case management, regulatory reporting, AI orchestration, and data ingestion and processing. • Drive modernization using cloud technologies and enterprise platforms. Stakeholder Partnerships • Collaborate with Product, Compliance, Risk, Operations, Data Science, and Engineering leadership. • Translate business needs into scalable technical solutions. • Present architecture strategies and modernization roadmaps to senior technology executives. Required Qualifications • 7+ years of engineering experience, or equivalent demonstrated through work experience, training, military experience, or education. • 7+ years of experience architecting, designing, and leading the delivery of large-scale solutions. • 4+ years of experience presenting technology strategy and concepts to C-level executives and large audiences. • 5+ years of experience delivering cloud-ready and cloud-native solutions. Desired Qualifications • 2+ years of experience developing or deploying AI-powered tools, chatbots, LLM-based automation, or agentic workflows, including understanding of AI risks, observability needs, and stakeholder communication. • 4+ years of experience in the Financial Services industry. • Excellent verbal, written, and interpersonal communication skills. • Ability to prioritize work, meet deadlines, achieve goals, and work under pressure. • Strong analytical skills and ability to solve complex technical problems.