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Added 5 mins ago
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Documentation for developers on effective use, integration,

Lyft

Senior Business Systems Engineer - Integrations & AI

Toronto, ON, Canada

Posting language: English
Posted: Sep 21, 2026

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Original 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.

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 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.

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More about this job

Responsibilities

Architect and implement AI agents and intelligent workflows to transform complex business processes and deliver measurable outcomes. Partner with cross-functional stakeholders to identify high-impact AI opportunities and drive organizational adoption through training and evangelism.

Requirements

Requires 5+ years of experience with integration and automation platforms, RESTful APIs, and enterprise integration patterns. Must have 2+ years of experience with RAG, vector databases, and AI agent frameworks like LangChain.

Skills

AI agents
LLMs
Integration platforms
Workflow automation
Prompt engineering
RAG
Vector databases
LangChain
RESTful APIs
Microservices architecture
Cloud platforms
Data platforms
Stakeholder management
Enterprise integration
SaaS platforms

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

AI Agents
LLMs
iPaaS
Workato
MuleSoft
Boomi
Informatica
n8n
Zapier
Gemini
Claude
RAG
Vector Databases
MCP
LangChain
LangSmith
RESTful APIs
Microservices
AWS
GCP
Snowflake
Databricks
Workday
Salesforce
Oracle
Atlassian
Google Workspace
Automation
Enterprise Architecture
Stakeholder Management

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