AI Business Solutions Architect, People Technology

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

Lyft is seeking an AI Business Solutions Architect for their People Technology team in Toronto. This role bridges the gap between People teams and Corporate Engineering/IT, translating business needs into AI-native solutions. The architect will define the roadmap for AI-First People systems, drive AI-enabled transformation, and ensure responsible AI adoption. Responsibilities include architecting People solutions, driving AI transformation, and enabling strategic decision-making. Experience with AI/automation in business contexts, LLMs, and People operations is required.

What you'd actually do

  1. Serve as the primary liaison between People stakeholders and engineering teams, translating both global and localized business needs into clear technical requirements taking an AI-Native approach and validating that delivered solutions meet business objectives.
  2. Partner with People 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 People workflows, from candidate screening and onboarding to personalized learning and predictive retention analysis, pushing teams up the value chain by eliminating mundane, repetitive work.
  4. Define the strategic roadmap for AI-First People systems, platforms, and data architecture in alignment with business strategy and technology capabilities.
  5. Partner with Security, Legal, and Compliance teams to ensure People solutions adhere to data privacy, audit standards, and regulatory obligations related to employee data.

Skills

Required

  • 8+ years of experience in business solution architecture, business process design, People/HR systems implementation, or related roles, with deep expertise in People operations and systems.
  • Experience with AI/automation in business contexts, including familiarity with LLMs, intelligent automation tools, or AI-powered workflow solutions.
  • Proven track record translating complex business requirements into technical solutions, working at the intersection of People teams and engineering.
  • Strong technical foundation including understanding of system architecture, APIs, data modeling, integration patterns, and modern SaaS platforms.
  • Demonstrated success leading business process transformation initiatives in People/HR that delivered measurable improvements in efficiency, accuracy, or user experience.
  • Exceptional communication skills with ability to influence stakeholders at all levels, from explaining technical concepts to CHRO and People executives to providing detailed specifications to engineers.

What the JD emphasized

  • AI Native approach
  • AI-enabled transformation
  • AI-first lens
  • apply AI and automation
  • responsible AI adoption
  • data privacy
  • regulatory obligations

Other signals

  • AI-enabled transformation
  • AI-first lens
  • apply AI and automation