AI Engineer – Cyber Security Transformation

🕒 October 19

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ciena

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1985

📡 Telecommunications

🔧 Hardware

💰 Series C on 1995-12

Telecommunications • Hardware • Networking

Ciena is a global leader in optical and routing systems, services, and automation software. We build the world’s most adaptive networks to address ever-increasing digital demands for richer, more connected experiences for all users. For three-plus decades, we’ve brought our innate sense of humanity to our relentless pursuit of innovation.

📋 Description

• 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

🎯 Requirements

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

🏖️ Benefits

• Flexible work environment • Employee growth, well-being, and belonging initiatives • Diversity, equity, and inclusion commitment • Equal opportunity employment • Disability and protected veteran support • Workplace accommodation measures