Job Title: Principal Agentic AI Architect
Location: Charlott NC
Please prioritize local candidates only. Candidates must be willing to attend an in-person interview and should be able to work onsite from Day 1 without exception. Please screen and confirm these requirements before submitting profiles.
KEY RESPONSIBILITIES
Technical Leadership & Architecture
· Define and drive the long-term technology strategy for Financial Crime modernization initiatives.
· Lead 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:
o Investigator copilots
o Alert triage and disposition
o Risk assessment
o Entity resolution
o SAR narrative generation
o Customer screening
o 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 best practices for software engineering.
· 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:
o Real-time risk assessment
o Customer screening
o Case management
o Regulatory reporting
o AI orchestration
o 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 one or a combination of the following: work experience, training, military experience, education
· 7+ years architecting, designing and leading the delivery of large-scale solutions
· 4+ years’ experience presenting technology strategy and concepts to C-level executives and large audiences
· 5+ years’ 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 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.
