Senior Business Systems Engineer - Integrations & AI

Lyft; Toronto; Hybrid; CAD 129,000 - 161,000; Full time

Benefits offered by this job

Extended health coverage

Mental health benefits

Family building benefits

Child care benefits

Pet benefits

Lyft Health Savings Account

RRSP with company match

Generous PTO with flexible time off

Hybrid work model

Job summary

Lyft is seeking an experienced AI integration leader to architect and implement AI agents and intelligent workflows across the organization. You will partner with business leaders to identify high-impact AI opportunities, translate complex problems into technical solutions, and build compelling business cases with ROI, costs, and timelines.

The role requires deep knowledge of LLMs, agentic workflows, and RESTful/microservice patterns, with experience across multiple cloud platforms and

Qualifications

• Excellent communication and stakeholder management skills.
• Experience designing, building, and deploying integrations and automated workflows with measurable impact.
• Deep understanding of LLMs, AI assistants, agentic workflows and prompt engineering.

Responsibilities

• Architect and implement AI agents and intelligent workflows to transform complex, multi-step processes.
• Partner with leaders across departments to identify high-impact AI opportunities aligned with objectives.
• Translate complex business problems into technical solutions for AI enablement.
• Build business cases outlining ROI, costs, benefits and timelines.
• Evaluate and implement AI solutions that fit enterprise needs and use cases.
• Design AI-first solutions ensuring value delivery and good UX.
• Monitor performance of AI workflows using data-driven insights.
• Develop training and enablement materials to promote adoption of agentic solutions.
• Create reusable patterns and best practices to accelerate AI adoption.
• Foster a community of practice around AI and intelligent agents.

Skills

Communication skills

Stakeholder management

Cross-functional collaboration

Adaptability

Ambiguity tolerance

AI domain knowledge

Tools

iPaaS

Workato

MuleSoft

Boomi

Informatica

n8n

Zapier

Job description

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.

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 is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

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.