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AI Architect

  • AI Architect job type Posted on: Nov 06, 2026
  • AI Architect experience level VySystems
  • AI Architect employment type Charlotte, North Carolina
  • AI Architect employment type Onsite
  • AI Architect salary Full-time

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Job Title :

AI Architect

Job Type :

Full-Time

Job Location :

Charlotte North Carolina United States

Remote :

No

Jobcon Logo Job Description :

Job Description: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 copilotso Alert triage and dispositiono Risk assessmento Entity resolutiono SAR narrative generationo Customer screeningo 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 assessmento Customer screeningo Case managemento Regulatory reportingo AI orchestrationo Data ingestion and processing· Drive modernization using cloud technologies and enterprise platforms.Stakeholder Partnerships

Jobcon Logo Position Details

Posted:

Nov 06, 2026

Reference Number:

10440_4488073057

Employment:

Full-time

City:

Charlotte

Job Origin:

APPCAST_CPC

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Job Description: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 copilotso Alert triage and dispositiono Risk assessmento Entity resolutiono SAR narrative generationo Customer screeningo 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 assessmento Customer screeningo Case managemento Regulatory reportingo AI orchestrationo Data ingestion and processing· Drive modernization using cloud technologies and enterprise platforms.Stakeholder Partnerships

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