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AI Architect

Listing for: VySystems
Full Time position Listed on 2026-11-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR

Job Description & How to Apply Below

  • 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, Dev Sec Ops , 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.
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