Principal Agentic AI Architect

• Job Title: Principal Agentic AI Architect
• Location: Charlott NC
• Work Model: Day 1 Onsite

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.