Senior AI Integrations & Automation Engineer

Gomyneed Private Limited; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Lyft in Toronto is seeking a Senior Business Systems Engineer - Integrations & AI to architect AI agents and intelligent workflows that transform complex processes and deliver measurable outcomes.

You will partner with leaders across departments to identify high-impact AI opportunities, elicit requirements, and translate problems into technical solutions. Build business cases covering ROI, costs, timelines, and strategic alignment, and evaluate AI solutions to fit organizational needs.

Qualifications

• 5+ years of hands-on integration/automation platform experience.
• Proven track record of building integrations delivering measurable business value.
• Deep understanding of LLMs, AI assistants, agentic workflows, prompt & context engineering.
• 2+ years with RAG, vector databases, MCP and agent frameworks such as LangChain or LangSmith.
• 5+ years with RESTful APIs, microservices architecture, and enterprise integration patterns.

Responsibilities

• Architect and implement AI agents and intelligent workflows that transform complex, multi-step business processes and deliver quantifiable outcomes.
• Partner with business leaders across departments to identify high-impact AI opportunities.
• Elicit requirements from diverse stakeholders and translate complex business problems into technical solutions.
• Build business cases that articulate ROI, implementation costs, benefits, timelines, and strategic alignment.
• Evaluate, recommend, and implement AI solutions that best fit organizational needs.

Tools

Workato

MuleSoft

Boomi

Informatica

n8n

Zapier

RESTful APIs

Microservices

Job description

Lyft in Toronto is seeking a Senior Business Systems Engineer - Integrations & AI to architect AI agents and intelligent workflows that transform complex processes and deliver measurable outcomes.

You will partner with leaders across departments to identify high-impact AI opportunities, elicit requirements, and translate problems into technical solutions. Build business cases covering ROI, costs, timelines, and strategic alignment, and evaluate AI solutions to fit organizational needs.