Senior Business Systems Engineer - Integrations & AI

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.

• →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

• 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