Staff Software Engineer, Data & AI Platform Architecture

We are looking for a Staff Software Engineer with a platform mindset to help shape the future of our enterprise-wide Data Analytics and AI/ML platform capabilities.

This role is not focused on building one-off ML models or applications. Instead youll build the foundational capabilities the architecture infrastructure and reusable services that power data-driven and AI-enabled products across the organization.

You will report to the Senior Director of Platform Engineering.

Youll have the opportunity to:

• Architect and build core platform components that support the entire data analytics and AI/ML lifecycle including data processing feature engineering model training/serving observability and governance.
• Define solution architectures for internal platform capabilities and reference implementations for common AI/analytics use cases.
• Lead the build vs. buy evaluation for components such as MLOps frameworks vector stores orchestration layers and AI development tools.
• Stay current with modern data and ML architectures including lakehouses LLM orchestration patterns and multi-tenant model serving.
• Partner with engineering data science and product teams to enable enterprise-scale adoption of shared platform services.
• Guide platform integration with public cloud services (AWS preferred) CI/CD pipelines and observability stacks.
• Drive internal adoption by influencing engineering teams across global and regional product lines.
• Mentor engineers on platform best practices architecture decisions and scalability patterns.

Qualifications :

Your background:

• 8 years of software engineering experience with a deep exposure to building platforms for data analytics or ML/AI workloads.
• Background in distributed systems cloud-native architecture and data-intensive platforms.
• Proficiency in Python Java or Scala.
• Experience with big data processing frameworks (e.g. Spark Flink) and modern data architectures (e.g. Lakehouse Delta Lake Apache Iceberg).
• Experience with cloud platforms (AWS preferred) including Terraform Helm or other Infrastructure-as-Code tools.
• Solid knowledge of Docker Kubernetes and building production-grade CI/CD pipelines.
• Track record of architectural leadership influencing technology adoption and driving platform reuse across teams.

Additional Information :

Benefits/Perks:

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

Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range individual pay is determined by work location and additional factors such as job-related skills experience and education. This position is 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. Innovation is an important part of Experians DNA and practices and our inclusive workforce allows everyone to succeed and bring their whole self to work. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.

#LI-Remote

This is a remote position.

Remote Work :

Yes

Employment Type :

Full-time