Application Architect in Austin, TX

Western Union•Austin, TX

2d•$125,000 - $150,000•Hybrid

About The Position

Application Architect with 10+ years of Hands-on experience designing and delivering scalable, microservices-based platforms and modern cloud-native solutions. Proven expertise in driving business transformation through AI-driven innovation, developer productivity platforms (DevEx), and data-centric architectures. Strong track record working with cross-functional teams to deliver high-performance systems, embedding AI-assisted development workflows, and improving engineering velocity through automation, CI/CD, and intelligent tooling. Adept at aligning technology strategies with business goals to deliver measurable outcomes in quality, efficiency, and customer experience. Hands-on coding architect working with engineering and business partners to define and build out complex solutions driving value through business process simplification, automation and new product capabilities and AI-driven innovations Demonstrate strong capabilities in assessing business needs while providing creative and effective solutions aligned with modern AI and data-driven technology standards Lead product solutioning end-to-end new innovations, including embedding AI capabilities into core product workflows with iterative improvements Architect and enable developer experience platforms (DevEx) that incorporate AI tooling for coding, debugging, code review, and knowledge discovery Strong emphasis on customer journey, product quality, performance tuning, troubleshooting, and continuous development Establish best practices for AI-driven developer efficiency, including automated code generation, intelligent testing, documentation generation, and refactoring Proven ability to improve developer productivity through AI-assisted coding practices, including code generation, automated unit test creation, and documentation synthesis Experience defining governance and guardrails for AI-assisted development, including code quality, security, and compliance considerations Familiarity with integrating AI tools into developer workflows (IDEs, CI/CD pipelines, code review systems) Ability to evaluate and adopt emerging AI productivity platforms to enhance engineering velocity and efficiency

Requirements

BS in Computer Science or related fields with 10+ years of professional experience or MS with 8+ years of experience
Proven ability to understand business and ability to contribute to technology direction that drives measurable business improvements
Demonstrated capabilities in assessing business needs while providing creative and effective solutions in conformance to emerging technology standards
Experience with architecture design concepts and techniques and the ability to communicate and evangelize those concepts to internal stakeholders and external partners
Excellent understanding of computer science fundamentals, data structures, algorithms, OOPs, and OOA/D
Demonstrated experience in programming languages (for example, Java/Python) and design patterns
Hands-on experience in building microservices based architecture and platform developed and deployed at scale
Applicants must be currently authorized to work in the United States on a full-time basis. Western Union will not sponsor applicants for work visas for this position.

Nice To Haves

Experience in Financial Services domain
Experience working with global teams in delivering solutions for APAC, EMEA, LATAM, and North America

Responsibilities

Demonstrate strong capabilities in assessing business needs while providing creative and effective solutions aligned with modern AI and data-driven technology standards
Lead product solutioning end-to-end new innovations, including embedding AI capabilities into core product workflows with iterative improvements
Architect and enable developer experience platforms (DevEx) that incorporate AI tooling for coding, debugging, code review, and knowledge discovery
Establish best practices for AI-driven developer efficiency, including automated code generation, intelligent testing, documentation generation, and refactoring
Proven ability to improve developer productivity through AI-assisted coding practices, including code generation, automated unit test creation, and documentation synthesis
Experience defining governance and guardrails for AI-assisted development, including code quality, security, and compliance considerations
Familiarity with integrating AI tools into developer workflows (IDEs, CI/CD pipelines, code review systems)
Ability to evaluate and adopt emerging AI productivity platforms to enhance engineering velocity and efficiency