AI Engineer-Cyber Security Transformation

Design, build, and operationalize AI-powered applications, copilots, and autonomous agents for cybersecurity use cases.

Develop Retrieval Augmented Generation (RAG) solutions leveraging enterprise knowledge sources and security data.

Create MCP-enabled integrations connecting AI agents with security tools, workflows, and enterprise platforms.

Build secure and scalable AI services using modern software engineering and DevOps practices.

Enhance self-hosted AI infrastructure, model serving platforms, and AI observability capabilities.

Develop security automation workflows that improve analyst productivity and reduce operational overhead.

Partner with Security Operations, Risk, Product Security, Vulnerability Management, and Threat Intelligence teams to deliver AI-driven solutions.

Education: Master's degree OR Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Cyber Security, Data Science, or a related field.

Experience: 5+ years of software engineering, AI engineering, machine learning engineering, or platform engineering experience.

Development of Python-based solutions and API-driven architectures.

Building and deploying production-grade AI applications and services.

Application of Large Language Models (LLMs), AI agents, prompt engineering, Retrieval Augmented Generation (RAG), vector databases, and semantic search.

Application of software engineering practices including CI/CD, version control, testing, and code quality processes.

Analytical troubleshooting, problem solving, communication, and stakeholder management capabilities.

Experience with self-hosted LLM environments and enterprise AI platforms.

Experience developing agentic workflows and multi-agent systems.

Knowledge of AI security risks including prompt injection, model abuse, data leakage, and secure agent design.

Experience building AI solutions for cybersecurity use cases.

Experience integrating security tools through MCP or API frameworks.

Certifications: Microsoft AI Engineer, Azure AI Engineer, AWS ML, CISSP, or related certifications.

At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.

Ciena is an Equal Opportunity Employer, including disability and protected veteran status.

If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.