Principle AI Architect

KEY RESPONSIBILITIES

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

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

Translate business needs into scalable technical solutions.

Present architecture strategies and modernization roadmaps to senior technology executives.

Required Qualifications:

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

7+ years architecting, designing and leading the delivery of large-scale solutions

4+ years' experience presenting technology strategy and concepts to C-level executives and large audiences

5+ years' 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, including understanding of AI risks, observability needs, and stakeholder communication

4+ years of Financial Services industry

Excellent verbal, written, and interpersonal communication skills.

Ability to prioritize work, meet deadlines, achieve goals, and work under pressure.

Strong analytical skills and ability to solve complex technical problems.