Agentic AI Architect

Job Description:

We are seeking a Principal Agentic AI Architect to provide senior-level technical leadership for the modernization of Financial Crime technology platforms. The ideal candidate will have strong experience in GenAI, Agentic AI, cloud-native architecture, enterprise architecture, and large-scale software engineering, with the ability to translate complex business requirements into scalable and secure technology solutions.

This role will lead the architecture and implementation of AI-powered investigation platforms, decisioning engines, agentic workflows, and modern cloud-native solutions supporting Financial Crime and Risk functions.

Key Responsibilities

Technical Leadership & Architecture

• Define and drive the long-term technology strategy for Financial Crime modernization initiatives.
• Lead the architecture and implementation of AI-powered investigation platforms, decisioning engines, and agentic workflows.
• Establish engineering standards, design patterns, reference architectures, and technical best practices.
• Serve as a senior technical authority for architecture, security, scalability, resiliency, and performance decisions.
• Lead technical design and architecture reviews and influence enterprise technology direction.
• Develop modernization roadmaps and present technical strategies to senior technology leadership.

AI & Agentic Engineering

• Design and implement Generative AI 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 technologies, including:
  • LLM orchestration
  • AI agent frameworks
  • Vector databases
  • RAG architectures
  • Model routing
  • AI guardrails
  • AI observability and monitoring
• Partner with Data Science teams to operationalize AI/ML models into scalable, secure production platforms.
• Lead AI-focused proof-of-concepts, rapid prototypes, and technical experiments.

Engineering Excellence

• Write and review high-quality production code when required.
• Establish software engineering standards and best practices.
• Mentor senior engineers and provide technical guidance across engineering teams.
• Drive automation, CI/CD, DevSecOps, testing, monitoring, and operational excellence.
• Identify and resolve complex technical challenges across multiple platforms and teams.

Platform Modernization

• Lead modernization and migration of legacy Financial Crime applications to cloud-native architectures.
• Architect scalable microservices, event-driven systems, and API-first platforms.
• Design enterprise capabilities supporting:
  • Real-time risk assessment
  • Customer screening
  • Case management
  • Regulatory reporting
  • AI orchestration
  • Data ingestion and processing
• Drive adoption of cloud technologies and modern enterprise platforms.

Stakeholder & Executive Engagement

• Collaborate with Product, Compliance, Risk, Operations, Data Science, and Engineering leadership.
• Translate business and regulatory requirements into scalable technical solutions.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
• Present architecture strategies, technology roadmaps, and modernization initiatives to senior and executive leadership.

Required Qualifications

• 7+ years of engineering experience, or equivalent combination of education, training, and professional experience.
• 7+ years of experience architecting, designing, and leading delivery of large‑scale technology solutions.
• 5+ years of experience delivering cloud‑ready and cloud‑native solutions.
• 4+ years of experience presenting technology strategies and complex technical concepts to C‑level executives and large audiences.
• Strong experience with enterprise architecture, distributed systems, and modern software engineering practices.
• Strong understanding of cloud architecture, scalability, resiliency, security, and performance.

Preferred Qualifications

• 2+ years of experience developing or deploying AI‑powered solutions, including:
  • Generative AI
  • LLM‑based applications
  • AI‑powered automation
  • Chatbots
  • Agentic AI / AI agents
• Experience with RAG, vector databases, LLM orchestration, agent frameworks, guardrails, and AI observability.
• 4+ years of experience in the Financial Services industry.
• Experience with Financial Crime, AML, fraud, risk management, customer screening, or related platforms is highly desirable.
• Strong knowledge of microservices, APIs, event‑driven architecture, cloud platforms, and DevSecOps.
• Excellent verbal, written, communication, and interpersonal skills.
• Strong analytical and problem‑solving abilities.
• Ability to prioritize multiple initiatives, meet deadlines, and work effectively in a fast‑paced environment.