Lead Cybersecurity Engineer- AI Red Team

Responsibilities

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.
  
  

Required

Profile required

Required Skills & Experience

Area

Expectation

Primary Depth

Strong hands-on GenAI engineering experience with LLMs, RAG, embeddings, vector databases, prompt engineering, evaluation, and production deployment.

Platform Engineering

Ability to design scalable AI systems covering APIs, orchestration, pipelines, monitoring, observability, CI/CD, and operational controls.

Engineering

Strong Python or backend engineering skills, secure software development, microservices, cloud-native design, and integration with enterprise systems.

Cybersecurity Exposure

Working understanding of cybersecurity concepts such as threat analysis, vulnerability management, identity, cloud security, security telemetry, and risk controls.

Preferred / Good-to-Have Exposure

• Exposure to AI security topics such as prompt injection, jailbreaks, data leakage, model abuse, hallucination, and insecure agentic workflows.
• Familiarity with Red Team, penetration testing, adversary simulation, MITRE ATT&CK, or purple team practices.
• Experience integrating AI capabilities with SIEM, SOAR, EDR, threat intelligence, vulnerability management, or cloud security platforms.
• Experience working in regulated enterprise environments with governance, auditability, and responsible AI expectations.
  
  

Why join us

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Business insight

At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you're joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

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