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 reputed company: reputed companyreputed 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 reputed company.We operate across a reputed company of markets, from financial services to reputed company, 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 reputed company company listed on the London Stock Exchange (EXPN), we have reputed company of 22,500 people across 32 countries. Our corporate reputed company are in Dublin, Ireland. Learn more at experianplc.com.Job reputed companyWe are looking for a Staff Software Engineer with a platform reputed company to help shape the reputed company of our reputed company-wide Data, Analytics, and AI/ML platform capabilities.This role is not reputed company 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 reputed company.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, reputed company stores, orchestration reputed company, 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 reputed company-reputed company adoption of shared platform services.
• Guide platform integration with public reputed company 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 reputed company, and scalability patterns.

Qualifications

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

Preferences:

• 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, reputed company 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.

Benefits/Perks:

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

Additional InformationOur uniqueness is that we celebrate yours. reputed company's culture and people are important differentiators. We take our people agenda reputed company seriously and reputed company on what reputed company; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. reputed company's people first approach is award-reputed company; World's Best Workplaces™ 2024 (Fortune Top 25), Great reputed company To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to reputed company a few. reputed company out reputed company Life on reputed company or our Careers Site to understand why.Our compensation reflects the cost of labor across several U.S. geographic markets. The reputed company pay reputed company for this position is listed above. reputed company this reputed company, individual pay is determined by work location and additional factors such as job-reputed company skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.reputed company is proud to be an Equal Opportunity Employer for reputed company reputed company protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. Innovation is an important part of reputed company's 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-RemoteThis is a remote position. Expected salary: Location: USA Apply for the job now! Apply for this job