Principle AI Architect - Finance Domain
Siri Infosolutions Inc
- Job
- 34829
- Posted
- Location
- North Carolina
- Work type
- Contract
- Tax terms
- C2C
- Experience
- Experience open
- Openings
- 1 opening
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Skills
- AI
- Architect
- Finance
- Crime
About the job
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.