AI Business Solution Architect

Lyft Lyft · Consumer · Toronto, ON · Corporate Engineering & IT

This role bridges the gap between Finance business needs and technical delivery by architecting AI-enabled solutions for the Finance function. The architect will translate complex business requirements into scalable systems, drive AI transformation, and ensure responsible adoption of AI technologies within Finance workflows, focusing on operational excellence and strategic impact.

What you'd actually do

  1. Serve as the primary liaison between Finance stakeholders and engineering teams, translating business needs into clear technical requirements and validating that delivered solutions meet business objectives
  2. Partner with Finance leaders to reimagine processes through an AI-first lens, prototyping solutions that demonstrate art-of-the-possible and building conviction for change
  3. Identify high-impact opportunities to apply AI and automation across Finance workflows, from invoice processing and reconciliation to forecasting and anomaly detection, pushing teams up the value chain by eliminating mundane, repetitive work
  4. Partner with Security, Legal, and Compliance teams to ensure Finance solutions adhere to SOX ITGC requirements, audit standards, and regulatory obligations

Skills

Required

  • Business solution architecture
  • Business process design
  • Finance systems implementation
  • Finance operations
  • System architecture
  • APIs
  • Data modeling
  • Integration patterns
  • SaaS platforms
  • Business process transformation
  • AI/automation in business contexts
  • LLMs
  • Intelligent automation tools
  • AI-powered workflow solutions
  • Communication skills
  • Stakeholder influence

Nice to have

  • Oracle Financials
  • NetSuite
  • Anaplan
  • Workday Financials
  • Concur
  • GTreasury
  • Sage
  • AI tools

What the JD emphasized

  • AI-enabled transformation
  • AI-first lens
  • apply AI and automation
  • responsible AI adoption
  • SOX ITGC requirements

Other signals

  • AI-enabled transformation
  • AI-first lens
  • apply AI and automation
  • responsible AI adoption
  • emerging AI capabilities