Staff Platform Architect (Data & AI)

TL;DR

Staff Platform Architect (Data & AI): Shaping technology strategy for analytics products and AI/ML enablement with an accent on MLOps infrastructure and AI-ready data foundations. Focus on designing agent-driven data access patterns and evolving large-scale distributed computing platforms on Databricks and AWS.

Location: Must be based in the United States

Salary: $133,109 - $239,596

Company

A global data and technology company powering opportunities across financial services, healthcare, automotive, and other regulated domains.

What you will do

• Evolve batch, analytics, and MLOps platforms to improve reliability, cost, and operational efficiency.
• Develop infrastructure for semantic and ontology layers, including governance and catalog integration.
• Design usage infrastructure for BI tools, ML pipelines, and AI agents.
• Create agent-driven data access patterns, identity federation for AI workloads, and platform APIs for LLM agents.
• Guide technology adoption across engineering teams through reasoned architectural choices.
• Lead prototyping and R&D to validate new AI and analytics capabilities before broader investment.

Requirements

• 10+ years of software engineering experience focused on data platforms and AI/ML systems at enterprise scale.
• Must be based in the United States.
• Proven experience building enterprise-scale MLOps platforms on Databricks.
• Hands-on experience with AI agent-based architectures and governed data access.
• Proficiency with AWS, distributed computing, and infrastructure as code.
• Bachelor's degree in science, technology, engineering, or a related field.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance.
• Matching 401K plan and competitive bonus opportunities.
• Flexible work environment with remote, hybrid, or in-office options.
• Generous time off, including volunteer days and 12 paid holidays.
• Inclusive, award-winning culture recognized as one of the World's Best Workplaces.