Principal Agentic AI Architect

Job Title: Principal Agentic AI Architect

Location: Charlotte, NC

Work Model: Day 1 Onsite

Rate: $65-$75/hour

Job Summary

• We are seeking an experienced Principal Agentic AI Architect to lead the architecture, design, and implementation of AI-powered solutions for Financial Crime modernization initiatives.
• The ideal candidate will have strong expertise in enterprise architecture, Generative AI (GenAI), Agentic AI, cloud-native platforms, and large-scale distributed systems.
• The candidate will drive technology strategy, architect intelligent investigation and decisioning platforms, and lead the modernization of legacy financial crime applications.
• This role requires close collaboration with Product, Compliance, Risk, Operations, Data Science, and Engineering teams to deliver secure, scalable, resilient, and production-ready AI solutions.

Key Responsibilities

1. Technical Leadership & Architecture

Define and drive 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 senior technical authority for architecture, security, scalability, resiliency, and performance decisions.

Lead technical design reviews and influence enterprise architecture direction.

2. AI & Agentic Engineering

Design and implement Generative AI and Agentic AI solutions for:

Investigator copilots

Alert triage and disposition

Risk assessment

Entity resolution

Suspicious Activity Report (SAR) narrative generation

Customer screening

Knowledge retrieval and decisioning

Evaluate and implement modern AI technologies, including LLM orchestration frameworks, agent frameworks, vector databases, Retrieval-Augmented Generation (RAG), model routing, guardrails, and AI observability.

Partner with Data Science teams to operationalize AI/ML models and deploy scalable, production-ready AI platforms.

Ensure AI solutions address security, reliability, explainability, governance, and responsible AI requirements.

3. Engineering Excellence

Write and review high-quality production code when required.

Lead proof-of-concepts (POCs), 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 engineering teams.

4. 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

Data ingestion and processing

Drive platform modernization using cloud technologies and enterprise architecture standards.

5. Stakeholder Collaboration

Collaborate with Product, Compliance, Risk, Operations, Data Science, and Engineering leadership.

Translate business requirements into scalable, secure, and maintainable technical solutions.

Present architecture strategies, technical recommendations, and modernization roadmaps to senior technology executives.

Build consensus across business and technology teams to deliver strategic initiatives.

Required Qualifications

7+ years of engineering experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination thereof.

7+ years of experience architecting, designing, and leading the delivery of large-scale technology 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.

Understanding of AI risks, observability requirements, and stakeholder communication.

4+ years of experience in the Financial Services industry.

Excellent verbal, written, and interpersonal communication skills.

Strong analytical, problem-solving, and decision-making abilities.

Ability to prioritize competing demands, meet deadlines, achieve goals, and perform effectively under pressure.

Core Technical Competencies

Generative AI (GenAI) and Agentic AI

Large Language Models (LLMs) and LLM orchestration

Retrieval-Augmented Generation (RAG) and vector databases

AI agents, guardrails, model routing, and observability

Cloud-native architecture and distributed systems

Microservices, event-driven architecture, and API design

AI/ML model integration and production deployment

CI/CD, DevSecOps, automation, and software engineering best practices

Financial Crime, Anti-Money Laundering (AML), customer screening, risk assessment, and regulatory reporting

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