Senior Business Systems Engineer - Integrations & AI
Job Description
<p>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.</p> <p>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.</p> <h2>Responsibilities:</h2> <ul> <li>Architect and implement AI agents and intelligent workflows that transforms complex, multi-step business processes and deliver quantifiable business outcomes</li> <li>Partner with business leaders and stakeholders across multiple departments to identify high-impact AI opportunities that align with organizational objectives</li> <li>Elicit requirements from diverse stakeholders and translate complex business problems into technical solutions</li> <li>Build compelling business cases that clearly articulate ROI, implementation costs, benefits, timelines, and strategic alignment</li> <li>Evaluate, recommend, and implement AI solutions that best fit organizational needs and use cases</li> <li>Design solutions with an AI-first approach, ensuring optimal value delivery and user experience</li> <li>Monitor and measure the performance of AI workflows, using data-driven insights to demonstrate value and drive continuous improvement</li> <li>Design and deliver training programs, workshops, office hours, and enablement materials that help teams understand and adopt agentic solution</li> <li>Create frameworks, best practices, templates, and reusable patterns that accelerate AI adoption and ensure consistent quality</li> <li>Build a community of practice around AI and intelligent agents, empowering others to identify opportunities and contribute to the agentic roadmap</li> <li>Act as an AI evangelist and educator, demystifying AI technology and building confidence across the organization</li> <li>Share knowledge by giving brown bags, tech talks, and evangelizing engineering and agentic AI best practices</li> <li>Stay current on emerging AI technologies, tools, and platforms, continuously evaluating new solutions for potential adoption</li> </ul> <h2>Experience:</h2> <ul> <li>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)</li> <li>Proven track record of designing, building, and deploying integrations and automated workflows that delivered measurable business value</li> <li>Deep understanding of how LLMs work, AI assistants (Geimini, Claude), AI agents, agentic workflows, and prompt & context engineering, including practical applications in enterprise environments</li> <li>2+ years of experience with RAG (Retrieval Augmented Generation), vector databases, MCP and agent frameworks such LangChain, LangSmith or similar technologies</li> <li>5+ years of experience working with RESTful APIs, microservices architecture, and enterprise integration patterns</li> <li>Experience with cloud platforms (AWS, GCP), data platforms (snowflake, Databricks) and cloud-native architectures</li> <li>Demonstrated experience implementing integrations and automated workflows across multiple enterprise SaaS platforms (e.g., Workday, Salesforce, Oracle, Atlassian, Google Workspace)</li> <li>Exceptio