Senior Business Systems Engineer - Integrations & AI

Lyft·Toronto, Canadasenior

In short

→Ingeniero de sistemas empresariales senior que diseña agentes de IA para transformar procesos de negocio.
→Dia a dia: trabaja con distintos departamentos para identificar problemas, crear flujos automatizados con IA y medir su impacto.
→Destacado: lidera la adopción de IA en toda la empresa, actuando como evangelista y creador de mejores prácticas.

Experiencia trabajando con equipos internacionales o comunicación en inglés en entornos em

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What they ask for

✓5+ años con plataformas de integración (iPaaS) o herramientas de automatización como Workato, MuleSoft, Zapier, etc.
✓Experiencia comprobada en integraciones y flujos automatizados que generen valor medible.
✓Conocimiento profundo en LLMs, agentes de IA, ingeniería de prompts y entornos empresariales.
✓2+ años trabajando con RAG, bases de datos vectoriales, frameworks como LangChain o LangSmith.
✓Experiencia con APIs RESTful, arquitectura de microservicios y patrones empresariales de integración.
✓Capacidad para comunicar ideas técnicas complejas a audiencias no técnicas y gestionar stakeholders.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

WorkatoMuleSoftBoomiInformatican8nZapierRESTful APIsmicroservicesAWSGCP

Who should you write to at Lyft?

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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 fu

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