AI Engineer-Cyber Security Transformation
Ciena (company site, opens in a new tab)5+ yrsGurugramOn-siteDirect career pageEst. 20–35 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operationalize AI-powered applications, agents, and autonomous systems for cybersecurity use cases.
- Develop and integrate Retrieval Augmented Generation (RAG) solutions and MCP-enabled workflows connecting AI with security tools and enterprise platforms.
- Build and maintain secure, scalable AI services and infrastructure including model serving platforms, observability, and security automation workflows to enhance analyst productivity.
Minimum Requirements
- Master's degree OR Bachelor's degree in Computer Science, AI, Software Engineering, Cyber Security, Data Science, or related field.
- 5+ years of experience in software engineering, AI engineering, machine learning engineering, or platform engineering.
- Proficiency in Python development, API-driven architectures, and production-grade AI application deployment.
- Experience with Large Language Models (LLMs), Retrieval Augmented Generation, vector databases, semantic search, software engineering best practices (CI/CD, version control, testing), and knowledge of AI security risks such as prompt injection and data leakage.
Ideal Candidate Profile
- Experienced AI engineer with demonstrated ability to develop agentic and multi-agent AI workflows in cybersecurity contexts.
- Practical expertise working with self-hosted LLM environments and enterprise-scale AI platforms, integrating AI solutions with existing security operations and risk teams.
- Skilled in building secure AI services that address AI-specific threats and can drive automation and operational improvements in cybersecurity teams.