AI Architect

VySystems; Charlotte (NC); On-site; USD 180,000 - 240,000; Full time

Job summary

VySystems is seeking a senior technical leader to define and drive the technology strategy for Financial Crime modernization. You will lead architecture and implementation of AI-powered investigation platforms, set engineering standards, and review critical design decisions across multiple teams.

The role emphasizes GenAI/Agentic AI design, modern AI frameworks, production-grade coding, and mentorship of senior engineers.

Responsibilities

• 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.
• Design and implement GenAI and Agentic AI solutions for alert triage and disposition, entity resolution, and 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.
• 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.
• 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: Case management, Regulatory reporting, AI orchestration, Data ingestion and processing.
• Drive modernization using cloud technologies and enterprise platforms.

Job description

• 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:
  
  
  
  • Alert triage and disposition
  
  
  • Entity resolution
  
  
  • 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.


• 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:
  
  
  
  • Case management
  
  
  • Regulatory reporting
  
  
  • AI orchestration
  
  
  • Data ingestion and processing
  
  
  
  


• Drive modernization using cloud technologies and enterprise platforms.