AI Engineer-Cyber Security Transformation
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 14d ago
The date the source published, not the day we noticed it (2026-10-19). Last seen at its source 3h ago.
We have tracked this listing since 19 Oct 2026 (13 days). The employer's board dropped it once and re-listed it; it was last seen there 3 hours ago.
Is it remote?
Remote- India- Gurugram
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $50k–90k/yr
Middle 50% of 21 listings that do state pay — Engineering · all levels · India · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workday employer's own board first seen 13d ago · last seen 3h ago
The listing
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.