AI Engineer-Cyber Security Transformation

Ciena; Kolkata Metropolitan Area; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Ciena is seeking a seasoned AI/Software Engineer to design and deploy secure AI-powered cybersecurity solutions. You will build copilots, autonomous agents, and RAG-based apps, connecting AI to security tools and enterprise platforms with API-driven architectures.

You will work with Security Operations, Risk, and Threat Intelligence teams to improve analyst productivity and reduce operational overhead, leveraging self-hosted LLM environments and DevOps best practices.

Qualifications

• Master's or Bachelor's in Computer Science, AI, Software Engineering, Cyber Security, Data Science, or related field.
• 5+ years of software/AI engineering experience.
• Experience with Python-based solutions and API-driven architectures.
• Building production-grade AI applications and services.

Responsibilities

• 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.

Skills

Python

LLMs

AI engineering

API-driven architectures

DevOps

AI security

Self-hosted LLMs

Education

Master's degree in CS/AI/Software Engineering/Cyber Security/Data Science

Bachelor's degree in CS/AI/Software Engineering/Data Science

Tools

Vector databases

Semantic search

CI/CD tooling

Job description

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact.

The Security Transformation team drives AI-enabled innovation across Cyber Security by developing secure AI platforms, intelligent agents, automation capabilities, and enterprise-scale AI solutions. This role contributes to expanding Ciena's AI ecosystem and accelerating AI adoption across security functions. The position focuses on delivering secure, scalable, and responsible AI solutions that improve cybersecurity outcomes.

How You Will Make An Impact

• 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.

The Must Haves

• 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.

Nice To Haves

• Experience building AI solutions for cybersecurity use cases.
• Experience with self-hosted LLM environments and enterprise AI platforms.
• Experience developing agentic workflows and multi-agent systems.Experience integrating security tools through MCP or API frameworks.
• Knowledge of AI security risks including prompt injection, model abuse, data leakage, and secure agent design.
• 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.