n8n jobs in San Diego

Build production AI features and services using foundation model APIs, retrieval-augmented generation (RAG), and agentic workflows. You will implement scalable microservices in Python or Java, develop evaluation and quality frameworks for AI systems, and collaborate across teams to integrate AI capabilities into enterprise workflows.…See more The role requires hands-on applied AI experience, strong backend or platform engineering skills, and familiarity with vector databases, LLM orchestration tools, and cloud infrastructure.

This role involves evolving Qualcomm's Robotic Process Automation capabilities into next-generation agentic automation solutions. The Senior Agentic Automations Engineer will design and deploy AI-driven agents, enterprise chatbots, and workflow engines, leading technical delivery across a global team while integrating RPA platforms like Automation Anywhere with containerized architectures.…See more Key responsibilities include defining automation standards, building full-stack enterprise applications, and ensuring secure integration with enterprise systems using Docker, Kubernetes, and agentic frameworks like LangGraph and n8n.

Join Qualcomm's Enterprise AI Engineering organization as a BizAI Tech Functional Engineer, bridging business stakeholders in Finance, Sales, and SCM with the AI engineering team. You will design and deliver AI-driven agents, natural-language analytics, and workflow automations on Qualcomm's unified BizAI platform, integrating with enterprise systems like Databricks, Oracle, Salesforce, and M365.…See more The role requires full-stack technical expertise (Python, TypeScript, FastAPI, n8n, Kubernetes) combined with functional fluency to translate process pain points into governed, production-grade solutions that meet SOX, security, and auditability standards. You'll support adoption through enablement and hands-on guidance while defining standards for scalability and compliance across the enterprise.

This role focuses on designing, developing, and deploying next-generation agentic automation solutions that replace and extend traditional RPA capabilities across enterprise systems. The engineer will architect AI-driven agents, chatbots, and workflow engines; lead technical delivery for a global matrixed team; and integrate platforms like Automation Anywhere with modern agentic frameworks and containerized infrastructure.…See more Success requires 7+ years in automation engineering or software development, strong proficiency in Python, Rust, and TypeScript, hands-on experience with agentic runtimes (n8n, LangGraph, Agno), and deep expertise in Docker, Kubernetes, enterprise security, and process optimization.

As Senior Manager of AI Governance Technology at Teradata, you will own the end-to-end technical architecture of the company's AI Governance Operating System, including intake pipelines, compliance monitoring, and agentic workflows. You'll lead the engineering of sophisticated automation using tools like n8n and Claude APIs, architect the AI tool registry, and design real-time monitoring systems that anticipate governance challenges.…See more You'll serve as the internal expert on Claude Enterprise, Microsoft Copilot, and Teradata AI Studio integrations, setting technical standards and specifications that guide the broader engineering team. This is a technical leadership role requiring deep expertise in enterprise AI governance, system architecture, and the ability to make complex engineering decisions with significant autonomy.

Senior Applied AI Engineer at West Health will design, build, and deploy production-quality AI-powered tools and workflows using large language models, multi-agent architectures, and orchestration platforms. The role involves building intelligent automation pipelines with tools like n8n, LangChain/LangGraph, and Microsoft Copilot Studio, integrating AI capabilities with existing data infrastructure (Snowflake, Python), and conducting data analysis to identify high-impact AI opportunities.…See more The ideal candidate combines deep practical expertise in applied AI with the ability to rapidly move from concept to fully working, well-documented applications that create measurable value for healthcare delivery and senior care initiatives.