Lead Cybersecurity Engineer- AI Red Team

Job description

Focused AI engineering role to build production-grade GenAI capabilities for cybersecurity use cases, with applied exposure to AI security and Red Team workflows.

Experience

- 8+ years overall; strong hands-on AI/GenAI engineering and platform delivery experience.

Primary Depth

- GenAI engineering, LLM/RAG platforms, scalable AI solution delivery.

Secondary Exposure

- Cybersecurity domain understanding, AI security risks, Red Team use cases. We are looking for a Lead Software Engineer with strong depth in GenAI engineering and platform delivery to build AI-enabled capabilities for cybersecurity teams. The core expectation is not to find a single expert across GenAI, cybersecurity, AI security, and Red Teaming. The role should primarily focus on designing and delivering production-grade LLM/RAG solutions, while using cybersecurity and Red Team exposure to ensure the solutions are practical, secure, and relevant to real-world security operations.

Key Responsibilities

• Design, build, and industrialize GenAI solutions using LLMs, RAG, embeddings, vector search, agents, APIs, and orchestration frameworks.
• Own platform engineering aspects including ingestion pipelines, observability, evaluation, CI/CD, monitoring, security controls, and operational readiness.
• Partner with cybersecurity stakeholders to translate threat analysis, investigation, and security automation needs into AI-enabled workflows.
• Apply working knowledge of AI security risks such as prompt injection, data leakage, hallucination, model misuse, and unsafe tool usage.
• Collaborate with Red Team or offensive security teams to support use-case design, validation, and practical adoption without making deep Red Team expertise mandatory.