Principal AI Architect

Simplify Software Experts LLC/ Simpli Software Solutions Inc; North Carolina; On-site; USD 150,000 - 190,000; Full time

Job summary

Simplify Software Experts LLC/ Simpli Software Solutions Inc is seeking a Senior Engineering leader to define and drive the technology strategy for Financial Crime modernization. You will architect and implement AI-powered investigation platforms and agentic workflows, while setting engineering standards and reference architectures across multiple platforms.

In this role, you will mentor senior engineers, lead design reviews, and push for CI/CD, DevSecOps, and operational excellence.

Qualifications

• 7+ years of engineering experience with leadership experience
• 7+ years architecting and delivering large-scale solutions
• 4+ years presenting technology strategy to executives
• 5+ years delivering cloud-ready and cloud-native solutions

Responsibilities

• Define and drive the long-term technology strategy for Financial Crime modernization initiatives
• Lead architecture and implementation of AI-powered investigation platforms and agentic workflows
• Establish engineering standards and reference architectures across Financial Crime platforms
• Serve as principal technical reviewer for architecture, security, scalability, and performance
• Lead technical design reviews and influence enterprise architecture direction
• Lead migration from legacy applications to cloud-native architectures
• Architect scalable microservices and event-driven systems
• 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 executives

Skills

Engineering leadership

Cloud architecture

AI/ML deployment

CI/CD & DevSecOps

Stakeholder communication

Architecture reviews

Mentoring

Technical strategy

Tools

LLM orchestration

Agent frameworks

Vector databases

RAG architectures

Observability tooling

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.
• 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.