Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Staff Software Architect (AI)
Job
Experian
Allen, TX (In Person)
Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
87
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Company DescriptionExperian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job DescriptionThe Financial Services Division (FSD) Engineering team is looking for a Staff Software Architect. You will be reporting to the Software Development Director.
Architecture LeadershipArchitect and evolve our real-time API platform for scalability, low-latency, and high availability (4-5 9s uptime).Lead design and implementation of platform-wide projects, such as event-driven architecture, observability, service mesh integration, and rate-limiting strategies.
Define roadmaps across API platforms with emphasis on scalability, maintainability, and rapid experimentationApply enterprise architecture principles and standards while balancing near-term delivery and long-term platform goalsBuild for leverage by creating reusable frameworks, automation, and internal tooling to accelerate teamsIntegrate AI into every layer of architecture to support thoughtful, agentic system design.
Platform and Technical LeadershipLead technical design across consumer products and internal platformsSupport agent-based automation and apply MCP to promote scalable AI workflowsShape cohesive end-to-end architecture spanning APIs, services, and frontendsCollaboration and InfluenceBring complex projects from concept to production, influencing technical direction across multiple teams.
Lead technical deep dives, reviews, and postmortems to improve engineering quality.
Promote adoption of tools like GitHub Copilot, Cursor, Claude, and LLM-integrated workflowsAdvance system-level thinking and reusability through shared scaffolds and frameworksInnovation and Organizational ImpactLead the Exponential Engineer Initiative to grow AI-first engineering through reusable agents, automation, and internal platformsPromote agent-based design, prompt abstraction, and developer enablement across teams• Evaluate and apply latest technologies, especially Generative AI, to improve engineering and results.
Qualifications8+ years in software engineering5+ in architecture or principal rolesExperience with at least one modern backend language (Java,go, Python, Rust, or Node.js).You have experience integrating LLMs with APIs (e.g., OpenAI, Anthropic, or similar)Experience with AI agent design, LLM orchestration (such as MCP), and integration of AI tools into developer workflows.
Proficiency or active use of GitHub Copilot, Cursor, Claude, and prompt-based development tools.
Experience in developer enablement, automation platforms, or engineering transformation projects.
Experience with API gateways, load balancing, caching, and observability tools (Splunk, Dynatrace)Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworksExpertise in microservices, GraphQL, API-first design, and AWS-native systemsKnowledge of distributed systems, cloud platforms (AWS/GCP/Azure), and modern backend stacks (e.g., Node.js, Java, Go, or Python)Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworksOperational experience in monitoring, observability, and incident response Experience building multi-agent systems at scaleExposure to AI observability platforms (prompt tracing, token analytics)Experience with fine-tuning or model customizationBackground in platform engineering or internal developer platformsExperience scaling AI systems to high-volume production workloadsExperience defining AI evaluation benchmarks and KPIsExperience defining AI governance, compliance, and responsible AI practicesAdditional InformationOur uniqueness is that we celebrate yours. Experian's culture is people-first, inclusive, and purpose-driven. It is also multi-award-winning. In 2025, Fortune Global Top 25 named it one of the World's Best Workplaces™. Additionally, it has been recognized as a Great Place To Work™ in 26 countries, to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. We list the base pay range for this position above. Within this range, work location and additional factors such as job-related experience, and education determine individual pay. You will be also eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Job DescriptionThe Financial Services Division (FSD) Engineering team is looking for a Staff Software Architect. You will be reporting to the Software Development Director.
Architecture LeadershipArchitect and evolve our real-time API platform for scalability, low-latency, and high availability (4-5 9s uptime).Lead design and implementation of platform-wide projects, such as event-driven architecture, observability, service mesh integration, and rate-limiting strategies.
Define roadmaps across API platforms with emphasis on scalability, maintainability, and rapid experimentationApply enterprise architecture principles and standards while balancing near-term delivery and long-term platform goalsBuild for leverage by creating reusable frameworks, automation, and internal tooling to accelerate teamsIntegrate AI into every layer of architecture to support thoughtful, agentic system design.
Platform and Technical LeadershipLead technical design across consumer products and internal platformsSupport agent-based automation and apply MCP to promote scalable AI workflowsShape cohesive end-to-end architecture spanning APIs, services, and frontendsCollaboration and InfluenceBring complex projects from concept to production, influencing technical direction across multiple teams.
Lead technical deep dives, reviews, and postmortems to improve engineering quality.
Promote adoption of tools like GitHub Copilot, Cursor, Claude, and LLM-integrated workflowsAdvance system-level thinking and reusability through shared scaffolds and frameworksInnovation and Organizational ImpactLead the Exponential Engineer Initiative to grow AI-first engineering through reusable agents, automation, and internal platformsPromote agent-based design, prompt abstraction, and developer enablement across teams• Evaluate and apply latest technologies, especially Generative AI, to improve engineering and results.
Qualifications8+ years in software engineering5+ in architecture or principal rolesExperience with at least one modern backend language (Java,go, Python, Rust, or Node.js).You have experience integrating LLMs with APIs (e.g., OpenAI, Anthropic, or similar)Experience with AI agent design, LLM orchestration (such as MCP), and integration of AI tools into developer workflows.
Proficiency or active use of GitHub Copilot, Cursor, Claude, and prompt-based development tools.
Experience in developer enablement, automation platforms, or engineering transformation projects.
Experience with API gateways, load balancing, caching, and observability tools (Splunk, Dynatrace)Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworksExpertise in microservices, GraphQL, API-first design, and AWS-native systemsKnowledge of distributed systems, cloud platforms (AWS/GCP/Azure), and modern backend stacks (e.g., Node.js, Java, Go, or Python)Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworksOperational experience in monitoring, observability, and incident response Experience building multi-agent systems at scaleExposure to AI observability platforms (prompt tracing, token analytics)Experience with fine-tuning or model customizationBackground in platform engineering or internal developer platformsExperience scaling AI systems to high-volume production workloadsExperience defining AI evaluation benchmarks and KPIsExperience defining AI governance, compliance, and responsible AI practicesAdditional InformationOur uniqueness is that we celebrate yours. Experian's culture is people-first, inclusive, and purpose-driven. It is also multi-award-winning. In 2025, Fortune Global Top 25 named it one of the World's Best Workplaces™. Additionally, it has been recognized as a Great Place To Work™ in 26 countries, to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. We list the base pay range for this position above. Within this range, work location and additional factors such as job-related experience, and education determine individual pay. You will be also eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.