AI Security Automation Engineer — Data Pipelines & Agents

NVIDIA AI; Santa Clara (CA); On-site; USD 168,000 - 311,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA AI seeks an AI and Automation Engineer to build an AI-native security organization with agent-enabled tooling. You will help design agent infrastructure, data pipelines, and MCP integrations, partnering with domain experts to translate needs into scalable solutions.

Role spans ETL, data governance, and real-time agent workloads, with emphasis on security, privacy, and governance across all data surfaces. Strong leadership and communication are essential.

Qualifications

• 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.

Responsibilities

• Allocate dedicated capacity to agent builds — contributing directly to the development of AI agents that support security programs.
• Build and maintain infrastructure to support agent workflows, including retrieval, context delivery, and agent-to-agent coordination.
• Translate business needs into data-driven, agent-ready solutions to reduce manual effort and improve decision velocity.
• Architect and implement MCP pattern integrations enabling agents to interact with data systems, tools, and APIs.
• Own the design, deployment, and maintenance of ETL and agentic data pipelines into the data lakehouse.
• Ensure data security, privacy, and governance across pipelines and data surfaces.
• Monitor and optimize data infrastructure, pipelines, and agents for real-time workloads.
• Mentor engineers on data engineering, MCP patterns, and agent-native design principles.

Skills

Python

Go

C++

AI workflows

MCP patterns

Agent tech

Data pipelines

AWS

Terraform

Airflow

Databricks

Leadership

Communication

Education

Bachelor's or Master’s degree in CS/Engineering/IT

Tools

Claude Code

Codex

Cursor

AWS

Terraform

Airflow

Databricks

Job description

NVIDIA AI seeks an AI and Automation Engineer to build an AI-native security organization with agent-enabled tooling. You will help design agent infrastructure, data pipelines, and MCP integrations, partnering with domain experts to translate needs into scalable solutions.

Role spans ETL, data governance, and real-time agent workloads, with emphasis on security, privacy, and governance across all data surfaces. Strong leadership and communication are essential.