Job Title

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. You will: ● Design and build AI agents and copilot experiences for defined internal use cases, with guidance on overall architecture and standards. ● Conduct prompt engineering analysis, troubleshooting, and continuous tuning of AI agents and responses for scoped problem areas. ● Create, maintain, and update robust automations using tools such as Workato, Okta Workflows, and Zapier. ● Implement agentic AI workflows and computer use models (leveraging Gemini, Claude, OpenAI) alongside browser automation tools to automate multi-step tasks, partnering with senior team members on more complex or ambiguous workflows. ● Develop custom agentic actions and integrate them with enterprise platforms using Model Context Protocol (MCP) servers and APIs, following established patterns and best practices. ● Develop and troubleshoot Python scripts. ● Monitor and maintain workflow integrations, agents, and automations, identifying issues and proposing improvements within your area of responsibility. Your team will: ● Collaborate on designing and implementing AI and automation solutions. ● Support each other in the ideation and creation of technical designs.Ensure the seamless integration and maintenance of automation tools and workflows. ● Work closely with other departments to understand and fulfill automation needs. About you: ● Strong hands-on experience working with APIs and integrations. ● Proficient in Python. ● Experience contributing to the technical design of automation and AI solutions and presenting them to stakeholders across different departments (HR, Legal, Sales, Eng). ● Strong understanding of modern LLMs (Gemini, Claude, OpenAI) and hands-on experience with prompt engineering and agentic design patterns. ● Ability to support other team members in design ideation, creation, implementation, and peer reviews. ● Excellent communication and collaboration skills. ● Strong problem-solving mindset, attention to detail, and a passion for driving internal productivity. ● Typically 3–5+ years of related experience in software engineering, data engineering, or automation/AI engineering (or equivalent practical experience).Preferred Skills: ● Familiarity with iPaaS tools like Workato, Okta Workflows, and Zapier. ● Deep experience or strong interest in cross-department AI development, including working with MCP servers, APIs and agentic frameworks. ● Understanding of data pipelines (e.g., BigQuery). ● Exposure to cloud infrastructure such as GCP or AWS