Job Description

As a Staff Software Engineer - Analytics & AI Architecture, you will help shape our technology strategy for analytics products, GenAI capabilities, and ML Operations. You will work with cross-functional teams to design and implement scalable, cost-effective, and business-led solutions that drive our enterprise's AI-powered insights and analytics lifecycle.

This role is ideal for an experienced engineer with a background in data engineering, AI/ML platforms, and distributed systems, along with experience influencing architectural decisions and technology adoption across global and regional teams.

You will report to the Senior Director of Platform Engineering.

You'll have the opportunity to:

• Design and build scalable and reusable analytics, AI, and ML platform components to support the broader organization's vision and goals.
• Define solution architectures for new analytics and AI products focusing on cost-effectiveness, operational efficiency, and customer impact.
• Drive the self-build vs. buy/resell decision-making process for analytics and AI capabilities.
• Stay ahead of the latest AI, data engineering, and analytics technologies.
• Explore and integrate LLMs, generative AI, and advanced analytics techniques into our ecosystem.
• Lead focused prototyping and R&D efforts in collaboration with analytics product teams to assess and validate new capabilities.
• Influence engineering teams across business units to adopt common AI and analytics capabilities.
• Promote internally developed innovations into shared platform capabilities.
• Mentor fellow engineers in your areas of expertise.

Qualifications

Your background:

• 8+ years of software development experience, focusing on data, analytics, and AI/ML platforms.
• Expertise in data engineering, distributed computing, and cloud-native architecture.
• Proficiency in Python, Java, or Scala.
• Experience with big data processing frameworks and modern data lake architectures.
• Experience leading architectural decisions and influencing engineering adoption at scale.
• Experience with any of the public cloud platforms and infrastructure as code (Terraform, Helm).
• Experience with Docker, Kubernetes, CI/CD pipelines, and observability tools.
• Proven expertise in building internal data, analytics, and AI/ML platforms at scale.
• Knowledge of security, compliance, and governance best practices for AI/ML workloads.
• Experience building Generative AI-based applications using chat/text completion APIs, Assistant APIs, or Vector Databases.

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.

Additional Information

Our uniqueness is that we celebrate yours. Experian's 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. Experian's people first approach is award-winning; World's 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 Experian's 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.

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