Senior Business Systems Engineer - Integrations & AI
Lyft INC · 🇨🇦 Toronto, Canada
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
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Sponsor Radar — Lyft INC
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About the role
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. Lyft is building the next generation of intelligent agents powered by AI. We're seeking a Senior AI Agentic Engineer to lead this transformation across the enterprise. This is a strategic role for someone who can bridge the gap between AI technology and business value, designing and deploying AI-powered workflows that deliver measurable outcomes. You'll work across IT, people operations, marketing, sales, finance, legal, and procurement to architect AI-first solutions that solve complex business problems. Responsibilities: • Architect 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 new solutions for potential adoption Experience: • 5+ years of hands-on experience with integration and automation platforms (iPaaS, workflow automation tools such as Workato, MuleSoft, 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 LangChain, LangSmith 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 SaaS 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