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 enterprisewide Data Analytics and AI/ML platform capabilities.

This role is not focused on building oneoff ML models or applications. Instead youll build the foundational capabilities the architecture infrastructure and reusable services that power datadriven and AIenabled products across the organization.

Youll work with crossfunctional teams to design and implement scalable secure and costefficient platform components that support GenAI ML Ops and advanced analytics use cases. Youll also play a key role in driving the adoption of shared capabilities across business units and regions.

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 multitenant model serving.
• Partner with engineering data science and product teams to enable enterprisescale 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 deep exposure to building platforms for data analytics or ML/AI workloads.
• Strong background in distributed systems cloudnative architecture and dataintensive 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 InfrastructureasCode tools.
• Solid knowledge of Docker Kubernetes and building productiongrade CI/CD pipelines.
• Track record of architectural leadership influencing technology adoption and driving platform reuse across teams.

Bonus:

• Experience building internal ML platforms MLOps frameworks or selfservice data science environments.
• Exposure to LLMbased applications and GenAI tooling (e.g. LangChain vector databases prompt orchestration).
• Understanding of security compliance and governance requirements for ML/AI workloads.
• Familiarity with platform observability (logs metrics tracing) for distributed systems.

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 inoffice.
• Flexible time off including volunteer time off vacation sick and 12paid holidays.

Additional Information :

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 awardwinning; 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.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.

#LIRemote

This is a remote position.

Remote Work :

Yes

Employment Type :

Fulltime