Senior Applied AI Engineer, Cybersecurity — Agentic AI

NVIDIA Gruppe; California (MO); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Applied AI Engineer, Cybersecurity, to build AI-powered security agents that assist analysts and automate security tasks. You will guide the development from experimentation to production, evaluating models and improving system reliability for enterprise security operations.

Your role involves leading cross-functional efforts, designing scalable architectures, and applying MLOps/LLMOps practices to deliver measurable security outcomes across detection, investigation,

Qualifications

• BS, MS, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Cybersecurity, or related technical field, or equivalent experience.
• 8+ years of relevant experience building and shipping AI, machine learning, or intelligent software systems, including ownership of complex production initiatives.
• Strong software engineering skills, particularly in Python, with experience building production systems using TypeScript or C#.
• Hands-on experience designing and developing modern AI systems using large language models, retrieval-augmented generation, agentic architectures, or related approaches.
• Experience designing AI evaluations and benchmarks using curated datasets, ground truth, metrics, automated evaluators, and expert feedback.
• Experience taking AI capabilities through experimentation, deployment, monitoring, and continuous improvement using MLOps or LLMOps.
• Demonstrated technical leadership across complex, cross-functional projects and ability to influence architecture and direction.
• Strong understanding of cybersecurity or applying AI and software engineering to security operations.

Responsibilities

• Partner with security practitioners to identify high-impact workflows and lead the delivery of agentic systems that improve analyst decision-making and accelerate detection, investigation, and response.
• Provide technical direction for complex agentic AI initiatives, shaping architecture, goals, and engineering decisions across teams.
• Build and develop context-aware agents that analyze security data streams and institutional knowledge, using approved tools and enabling greater autonomy.
• Establish repeatable evaluation for models and agents using realistic security environments, curated datasets, analyst ground truth, and task-specific benchmarks.
• Use evaluation results and analyst feedback to improve agent quality, reliability, and efficiency across production traces and deployment lifecycles.

Skills

Python

Large language models

Agentic AI

MLOps/LLMOps

Software architecture

Cybersecurity knowledge

Leadership

Independent judgment

Education

BS/MS/PhD in CS or related field

Tools

TypeScript

C#

NeMo Evaluator

NeMo Gym

CUDA

Triton Inference Server

NIM

Job description

NVIDIA is seeking a Senior Applied AI Engineer, Cybersecurity, to build AI-powered security agents that assist analysts and automate security tasks. You will guide the development from experimentation to production, evaluating models and improving system reliability for enterprise security operations.

Your role involves leading cross-functional efforts, designing scalable architectures, and applying MLOps/LLMOps practices to deliver measurable security outcomes across detection, investigation,