Senior Enterprise Solution Architect - Fraud & AI Platform

Photon

Irving (TX)

On-site

USD 140,000 - 200,000

Full time

7 days ago
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Job summary

Photon is seeking an experienced Enterprise Solution Architect to lead end-to-end architecture for large-scale fraud and AI transformation programs within the financial services sector. You will define architectures spanning data, fraud platforms, enterprise apps, big data, APIs, and legacy systems, while ensuring security, compliance, and scalability.

The role requires deep hands-on depth to work with engineering teams, shape transition plans, and establish reusable patterns across multiple use

Qualifications

  • Experience as an Enterprise Solution Architect / Lead/Enterprise Architect in large-scale environments.
  • Industry experience in financial services, banking, payments, fraud, or regulated sectors.
  • Ability to design complex cross-domain solutions spanning applications, data, integration and distributed platforms.

Responsibilities

  • Define end-to-end architecture for large-scale Fraud and AI transformation initiatives.
  • Architect solutions across data, APIs, event streaming, and enterprise systems.
  • Ensure architecture decisions are implementable within regulated environments.
  • Lead architecture reviews and provide guidance to engineering teams.
  • Translate business objectives into implementable technical designs.

Skills

Enterprise architecture
Solution design
Big Data technologies
API architecture
Security and compliance
Mainframe integration
Regulated industries
Communication to stakeholders

Education

Bachelor's degree in CS/IS

Tools

Hadoop
Spark
Kafka

Job description

Photon is seeking an experienced Enterprise Solution Architect to lead end-to-end architecture for large-scale fraud and AI transformation programs within the financial services sector. You will define architectures spanning data, fraud platforms, enterprise apps, big data, APIs, and legacy systems, while ensuring security, compliance, and scalability.

The role requires deep hands-on depth to work with engineering teams, shape transition plans, and establish reusable patterns across multiple use

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