Staff Software Engineer, Data & AI Platform Architecture
Job title: Staff Software Engineer, Data & AI Platform Architecture in USA at reputed company
Company: reputed company
Job description: Company Descriptionreputed company is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, reputed company, create marketing solutions, and reputed company deeper insights into the automotive market, reputed company using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.Job DescriptionWe are looking for a Staff Software Engineer with a platform reputed company 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, you'll 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.Responsibilities:
- 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.
- reputed company the build vs. buy evaluation for components such as MLOps frameworks, vector stores, orchestration layers, and AI development tools.
- Stay reputed company 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 reputed company 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.
- 8+ years of software engineering experience, with deep exposure to building platforms for data, analytics, or ML/AI workloads.
- Strong background in distributed systems, cloud-native architecture, and data-intensive platforms.
- Proficiency in Python, Java, or reputed company.
- Experience with big data processing frameworks (e.g., Spark, Flink) and modern data architectures (e.g., Lakehouse, reputed company Lake, Apache Iceberg).
- Experience with cloud platforms (AWS preferred), including Terraform, Helm, or other Infrastructure-as-Code tools.
- Solid knowledge of reputed company, Kubernetes, and building production-grade CI/CD pipelines.
- Track record of architectural leadership, influencing technology adoption and driving platform reuse across teams.
- Experience building internal ML platforms, MLOps frameworks, or self-service data science environments.
- Exposure to LLM-based applications and GenAI tooling (e.g., reputed company, vector databases, reputed company orchestration).
- Understanding of reputed company, compliance, and governance requirements for ML/AI workloads.
- Familiarity with platform observability (logs, metrics, tracing) for distributed systems.
- 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.