Experian

Staff Software Architect (AI) - Remote

Experian$130K — $180K *
Allen, TX 75002In-Person
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in software engineering
  • 5+ years in architecture or principal roles
  • Experience with modern backend languages (Java, Go, Python, Rust, Node.js)
  • Experience integrating LLMs with APIs (like OpenAI or Anthropic)
  • Familiarity with AI agent design and orchestration
  • Proficiency with developer tools like GitHub Copilot and Claude
  • Experience with API gateways, load balancing, and observability tools

Responsibilities

  • Architect and evolve the real-time API platform for optimal performance
  • Lead the design and execution of platform-wide technological projects
  • Define scalable and maintainable roadmaps for API platforms
  • Create reusable frameworks and automate processes for team efficiencies
  • Integrate AI across all architecture layers for enhanced system design
  • Promote adoption of advanced developer tools and methodologies
  • Influence technical direction and lead project transitions to production

Benefits

  • Comprehensive compensation package with bonus opportunities
  • Medical, dental, and vision core benefits
  • 401K plan with company matching
  • Flexible work environment options (remote, hybrid, in-office)
  • Generous flexible time off policy including volunteer days, vacation, and holidays
Full Job Description
Job Description

The Financial Services Division (FSD) Engineering team is looking for a Staff Software Architect. You will be reporting to the Software Development Director.

Architecture Leadership
  • Architect 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 experimentation
  • Apply enterprise architecture principles and standards while balancing near-term delivery and long-term platform goals
  • Build for leverage by creating reusable frameworks, automation, and internal tooling to accelerate teams
  • Integrate AI into every layer of architecture to support thoughtful, agentic system design.

Platform and Technical Leadership
  • Lead technical design across consumer products and internal platforms
  • Support agent-based automation and apply MCP to promote scalable AI workflows
  • Shape cohesive end-to-end architecture spanning APIs, services, and frontends

Collaboration and Influence
  • Bring 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 workflows
  • Advance system-level thinking and reusability through shared scaffolds and frameworks

Innovation and Organizational Impact
  • Lead the Exponential Engineer Initiative to grow AI-first engineering through reusable agents, automation, and internal platforms
  • Promote agent-based design, prompt abstraction, and developer enablement across teams
  • Evaluate and apply latest technologies, especially Generative AI, to improve engineering and results.


Qualifications
  • 8+ years in software engineering
  • 5+ in architecture or principal roles
  • Experience 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 frameworks
  • Expertise in microservices, GraphQL, API-first design, and AWS-native systems
  • Knowledge 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 frameworks
  • Operational experience in monitoring, observability, and incident response
  • Experience building multi-agent systems at scale
  • Exposure to AI observability platforms (prompt tracing, token analytics)
  • Experience with fine-tuning or model customization
  • Background in platform engineering or internal developer platforms
  • Experience scaling AI systems to high-volume production workloads
  • Experience defining AI evaluation benchmarks and KPIs
  • Experience defining AI governance, compliance, and responsible AI practices


Additional Information

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.

Benefits/Perks:
  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

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About Experian

Experian is a global information services company that provides data and analytical tools to clients around the world. The company was founded in 1996 and is headquartered in Dublin, Ireland. Experian operates in four main business areas: Credit Services, Decision Analytics, Marketing Services, and Consumer Services. The company provides credit reporting services to businesses and consumers, helping them to make informed decisions about credit and financial risk. Experian also provides data and analytics to help businesses manage risk, prevent fraud, and improve their marketing efforts. The company has operations in 45 countries and serves clients in more than 100 countries.
Learn more about Experian
Size
51,493 employees
Industry
Founded
1980
NASDAQ

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