AI Architect

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 copilots

o Alert triage and disposition

o Risk assessment

o Entity resolution

o SAR narrative generation

o Customer screening

o 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 assessment

o Customer screening

o Case management

o Regulatory reporting

o AI orchestration

o Data ingestion and processing

· Drive modernization using cloud technologies and enterprise platforms.

Stakeholder Partnerships