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.

NLB Services is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, sexual orientation and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.

NLB Services provides reasonable accommodations during the recruitment process as required by law. Applicants requiring an accommodation due to a disability, pregnancy-related limitation, or sincerely held religious belief, practice or observance may contact their recruiter or email .