Principle AI Architect - Finance Domain

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:
  • Investigator copilots
  • Alert triage and disposition
  • Risk assessment
  • Entity resolution
  • SAR narrative generation
  • Customer screening
  • 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:
  • Real-time risk assessment
  • Customer screening
  • Case management
  • Regulatory reporting
  • AI orchestration
  • 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.