# Senior Application Security Engineer, AI and Machine Learning

**Company:** [Lightning AI](https://hotfix.jobs/companies/lightning-ai)
**Location:** San Francisco, CA, Seattle, WA
**Role:** Security Engineering
**Salary:** $180k – $220k/yr
**Skills:** Kubernetes, AWS, GCP, Azure, Python, Go, PyTorch, TensorFlow, Hugging Face, CI/CD
**Posted:** 2026-05-01

> Secures AI/ML systems through threat modeling, architecture reviews, and securing inference pipelines, APIs, and model supply chains. Partners with ML engineers to embed security in training, deployment, and multi-tenant workloads while building automation tooling.

## Job Description

## What You’ll Do

### Secure AI and Machine Learning Systems
- Perform threat modeling across AI platforms, inference services, and ML pipelines
- Identify risks such as **prompt injection**, **model extraction**, **adversarial inputs**, and **data leakage**
- Review model serving architectures and inference pipelines
- Partner with ML engineers to secure training, fine tuning, and deployment workflows
- Help design isolation and security controls for multi tenant AI workloads

### Application Security Engineering
- Perform architecture and design security reviews
- Conduct targeted code reviews for high risk components
- Identify security gaps in APIs, micro-services, and distributed systems
- Build secure patterns for authentication, authorization, and service to service communication
- Help engineering teams implement secure defaults and guardrails

### Inference Platform Security
- Secure customer facing inference APIs and services
- Protect against abuse, model extraction, and adversarial behavior
- Design rate limiting, isolation, and workload protection controls
- Build monitoring and detection for anomalous inference behavior

### AI Supply Chain and Model Security
- Evaluate open source models and dependencies
- Secure model artifacts and distribution pipelines
- Implement integrity validation and provenance controls
- Help secure container images and runtime environments

### Security Automation and Tooling
- Build security automation for AI and application pipelines
- Integrate security scanning into CI/CD workflows
- Develop tooling to help engineers detect and fix issues early
- Improve developer experience with security guardrails

## What You'll Need

### Required Experience
- Strong background in application security engineering
- Experience performing threat modeling and architecture reviews
- Experience securing APIs and distributed systems
- Experience working in cloud environments such as **AWS**, **GCP**, or **Azure**
- Experience with containers and **Kubernetes**
- Strong scripting or programming skills such as **Python**, **Go**, or similar
- Experience working closely with engineering teams to implement security improvements

### AI and Machine Learning Experience
- Experience securing ML pipelines, inference systems, or data platforms
- Familiarity with risks such as prompt injection, model extraction, and adversarial inputs
- Experience reviewing model serving architectures
- Understanding of training data security and data leakage risks

### It's a Strong Plus If You Have
- Red team or offensive security experience
- Experience crafting payloads and evaluating CVEs for exploitability in diverse environments
- Experience with GPU infrastructure or high performance computing
- Experience with **Hugging Face**, **PyTorch**, **TensorFlow**, or similar frameworks
- Experience with LLM systems, RAG pipelines, or agent frameworks
- Experience building security automation pipelines
- Experience securing multi tenant infrastructure

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**Apply:** https://hotfix.jobs/jobs/6966410c-3ceb-4222-bdaa-32dce25918e7
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