> Markdown version of [/jobs/ext/2248821-ai-automation-engineer-security](https://www.wearedevelopers.com/jobs/ext/2248821-ai-automation-engineer-security). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Automation Engineer, Security - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $168,000.0 - $270,250.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Big Data, C++ (Programming Language), Cyber Security, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Cursor (Graphical User Interface Elements), Python (Programming Language), Information Technology, Data Analytics, Virtual Agents, Terraform, Data Pipelines, Databricks, Golang - **Published:** August 26, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/AI-Automation-Engineer--Security_JR2016797 ## About the Role * Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field (or equivalent experience). * 8+ years of working experience in Automation Engineering and Data Engineering. * Proficiency with Python, Go, C++, or other relevant languages. * Experience working and building production workflows with AI, agents, and MCPs. * Familiarity with Claude Code, Codex, Cursor, or similar tools. * An ability to ramp quickly on the use and implementation of new AI tools and MCP patterns. * Prior experience with AWS, Terraform, Airflow, and Databricks or equivalent large-scale data platforms. * Strong ownership, self-sufficiency, and ability to lead in agile, fast-moving environments. * Proven ability to deliver high-impact, large-scale projects with minimal direction. * Excellent verbal and written communication skills. Ways to stand out from the crowd: * Direct experience building or supporting AI agent pipelines in a security, compliance, or enterprise operations context. * Familiarity with NVIDIA's AI stack and a genuine passion to build security programs on top of it. * Previous background in Information Security or Cybersecurity. ## Description * Allocate dedicated capacity to agent builds - contributing directly to the development of AI agents that support our security programs, including certifications, risk, and compliance. * Build and maintain infrastructure to support agent workflows, including retrieval, context delivery, and agent-to-agent coordination patterns. * Partner with team members to translate business needs into data-driven, agent-ready solutions that reduce manual effort and improve decision velocity. * Architect and implement MCP pattern integrations that enable security agents to interact with data systems, tools, and APIs in a structured, scalable way. * Own the design, deployment, and maintenance of ETL and agentic data pipelines to ingest, transform, and serve data from multiple sources into our data lakehouse and downstream agent consumers. * Ensure data security, privacy, and governance are implemented across all pipelines and agent-accessible data surfaces. * Continuously monitor, optimize, and resolve issues with data infrastructure, pipelines, and agents for efficiency, accuracy, speed, and scalability in support of real-time agent workloads. * Mentor other engineers on data engineering, MCP patterns, and agent-native design principles. ## Related Videos - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Building, securing and governing AI infrastructure in the Era of Agentic AI](https://www.wearedevelopers.com/videos/100129-building-securing-and-governing-ai-infrastructure-in-the-era-of-agentic-ai) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)