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Senior Business Systems Engineer - Integrations & AI

Lead the development of AI-powered workflows to drive business value across multiple departments at Lyft.

Location
Toronto, Canada
Compensation
CA$129k–CA$161.3k/yr
Level
senior
Type
full time · Hybrid

Posted by employer 3 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 1 day ago

What you'll build

  • Architect and implement AI agents and intelligent workflows
  • Partner with business leaders to identify AI opportunities
  • Elicit requirements and translate business problems into technical solutions
  • Monitor and measure the performance of AI workflows
  • Design and deliver training programs for AI adoption

Must have

  • 5+ years of hands-on experience with integration and automation platforms
  • Proven track record of designing and deploying integrations
  • Deep understanding of LLMs and AI assistants
  • 5+ years of experience working with RESTful APIs
  • Experience with cloud platforms and data platforms

Nice to have

  • 2+ years of experience with RAG and vector databases
  • Experience implementing integrations across multiple enterprise SaaS platforms
  • Exceptional communication and stakeholder management skills
  • Experience working across multiple business functions
  • Adaptability in a rapidly evolving AI landscape

Practical constraints

  • In-office at least 3 days per week

AI in the day-to-day

Lyft is building intelligent agents powered by AI to transform business processes and deliver measurable outcomes.

Requirements

Experience
5+ years

Not disclosed in this posting: visa sponsorship.

Benefits

Commuter Benefits Flexible Paid Time Off Health Insurance RRSP Match Parental Leave Mental Health Benefits

Joblaze summary

In this role, the Senior Business Systems Engineer focuses on architecting and implementing AI-driven workflows that enhance complex business processes across various departments. Key skills include expertise in integration platforms, AI technologies, and a strong grasp of RESTful APIs and cloud architectures. This position is ideal for experienced professionals with a background in automation and a proven ability to translate technical solutions into business value. Lyft emphasizes collaboration, requiring in-office presence at least three days a week to foster team engagement.

Joblaze insights

  • Listed yesterday — first seen on Joblaze September 23, 2026. Last confirmed on Lyft's careers page September 23, 2026.
  • Starts at or below all 13 comparable senior ai/ml roles in Canada we track (median $119,200 across 8 companies).

Quick facts

Is the Senior Business Systems Engineer - Integrations & AI role remote?
It's hybrid — Lyft expects some on-site time in Toronto, Canada.
What's the salary range?
Lyft lists CAD 129,000–CAD 161,250 for this role.
How much experience is required?
At least 5 years of relevant experience for this Senior Business Systems Engineer - Integrations & AI role.
Where is the role based?
Lyft is hiring for this position in Toronto, Canada.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, AWS, Atlassian, Boomi, Databricks, GCP.
What seniority level is this role?
Lyft targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Business Systems Engineer - Integrations & AI role at Lyft.

From the original posting

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 understand different functional requirements
  • Adaptability and comfort with ambiguity in a rapidly evolving AI landscape

Benefits:

  • Extended 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 Account
  • RRSP plan with company match to help save for your future
  • In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
  • Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
  • Subsidized commuter benefits and Lyft ride credits

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $129,000 - CAD $161,250, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Standard company text repeated across Lyft's postings is omitted here.

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