At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
ResponsibilitiesArchitect and implement AI agents and intelligent workflows that transforms complex, multi-step business processes and deliver quantifiable business outcomes
Partner with business leaders and stakeholders across multiple departments to identify high-impact AI opportunities that align with organizational objectives
Elicit requirements from diverse stakeholders and translate complex business problems into technical solutions
Build compelling business cases that clearly articulate ROI, implementation costs, benefits, timelines, and strategic alignment
Evaluate, recommend, and implement AI solutions that best fit organizational needs and use cases
Design solutions with an AI-first approach, ensuring optimal value delivery and user experience
Monitor and measure the performance of AI workflows, using data-driven insights to demonstrate value and drive continuous improvement
Design and deliver training programs, workshops, office hours, and enablement materials that help teams understand and adopt agentic solution
Create frameworks, best practices, templates, and reusable patterns that accelerate AI adoption and ensure consistent quality
Build a community of practice around AI and intelligent agents, empowering others to identify opportunities and contribute to the agentic roadmap
Act as an AI evangelist and educator, demystifying AI technology and building confidence across the organization
Share knowledge by giving brown bags, tech talks, and evangelizing engineering and agentic AI best practices
Stay current on emerging AI technologies, tools, and platforms,



continuously evaluating current solutions for potential adoption
Experience5+ years of hands-on experience with integration and automation platforms (i Paa S, workflow automation tools such as Workato, Mule Soft, Boomi, Informatica, n8n, Zapier, or similar technologies)
Proven track record of designing, building, and deploying integrations and automated workflows that delivered measurable business value
Deep understanding of how LLMs work, AI assistants (Geimini, Claude), AI agents, agentic workflows, and prompt & context engineering, including practical applications in enterprise environments
2+ years of experience with RAG (Retrieval Augmented Generation), vector databases, MCP and agent frameworks such Lang Chain, Lang Smith or similar technologies
5+ years of experience working with RESTful APIs, microservices architecture, and enterprise integration patterns
Experience with cloud platforms (AWS, GCP), data platforms (snowflake, Databricks) and cloud-native architectures
Demonstrated experience implementing integrations and automated workflows across multiple enterprise Saa S platforms (e.g., Workday, Salesforce, Oracle, Atlassian, Google Workspace)
Exceptional communication and stakeholder management skills with ability to explain complex technical concepts to diverse audiences and influence without authority
Experience working across multiple business functions (e.g., HR, Sales, Finance, Legal, Operations) with ability to quickly understand different functional requirements
Adaptability and comfort with ambiguity in a rapidly evolving AI landscape
BenefitsExtended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Access to a Lyft funded Health Care Savings

📌 Senior business systems engineer (Toronto)
🏢 Lyft
📍 Toronto