ai security engineer at haystack remote

A cybersecurity firm dedicated to helping organizations make better decisions and minimize risk by providing trusted expertise, solutions, and services. They assist Fortune 500 companies and U.S. government agencies in identifying threats, optimizing resources, and integrating best-fit solutions.

The Role

- Advise on and assess the security posture of AI/ML systems, including LLMs and GenAI pipelines.<br/>- Lead threat modeling exercises for AI workloads, covering adversarial inputs and data poisoning.<br/>- Guide secure integration of SaaS AI services and APIs into enterprise applications.<br/>- Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases.<br/>- Serve as a trusted security advisor bridging business stakeholders, AI/ML engineers, and IT operations.<br/>- Continuously track emerging AI security research, adversarial techniques, and regulatory developments.

What You'll Need

- 5+ years in security engineering with a focus on cloud security or AppSec.<br/>- Hands-on experience implementing, managing, and securing Agentic AI solutions.<br/>- Familiarity with major cloud provider AI services (AWS Bedrock, Azure AI Foundry, Google Vertex).<br/>- Proficiency in Python.<br/>- Solid understanding of generative AI concepts, LLMs, and foundational AI/ML principles.<br/>- Deep knowledge and operational experience with Agentic Coding assistants (e.g., Claude Code).

What's On Offer

- Remote work primarily (U.S. based).<br/>- Comprehensive medical and dental insurance options.<br/>- 12 corporate holidays and a Flexible Time Off (FTO) program.<br/>- Healthy mobile phone and home internet allowance.

Apply via Haystack today!

Location: Location not specified (Remote)

Remote: Yes