Principal Agentic AI Architect

Cloudious•Iselin, NJ

About The Position

This role is for a Principal Agentic AI Architect focused on modernizing Financial Crime initiatives. The architect will define and drive the technology strategy, lead the architecture and implementation of AI-powered platforms, and establish engineering standards. Key responsibilities include designing and implementing GenAI and Agentic AI solutions for various financial crime use cases, evaluating and implementing modern AI frameworks, and partnering with Data Science teams to operationalize AI/ML models. The role also involves driving engineering excellence through code quality, automation, and mentoring, leading the migration of legacy applications to cloud-native architectures, and collaborating with various stakeholders to translate business needs into technical solutions.

Requirements

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
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.

Nice To Haves

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 experience

Responsibilities

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.
Design and implement GenAI and Agentic AI solutions for investigator copilots, alert triage and disposition, risk assessment, entity resolution, SAR narrative generation, customer screening, and 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.
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, and data ingestion and processing.
Drive modernization using cloud technologies and enterprise platforms.
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.