Jobs
Benefits & Perks
•Employee Assistance Program
•Paid Sick Leave
•Vacation
Required Skills
Python
AI Development
API Integration
JSON
REST
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 Opportunity:
8-month work term: May 2026 – December 2026
Ciena’s Navigator Software Suite is evolving into a platform enhanced by AI-driven intelligence. By leveraging modern AI frameworks, orchestration platforms, and automation pipelines, we aim to help network operators accelerate planning, provisioning, and troubleshooting with next-generation,agentic AI capabilities.
As an AI Engineer:
, you will:- Design and implementAI-powered workflows** using** Google AI Development Kit (ADK) or similar frameworks.
- Build, optimize, and maintain intelligent pipelines leveraging orchestration platforms like n8n.
- Integrate agentic AI frameworks and multi-agent systems into Navigator workflows for enhanced automation and decision-making.
- Work closely with product, QA, and development teams to embed AI agents, APIs, and tools into the Navigator software suite.
- Research and implement emerging AI models, tools, and orchestration frameworks at enterprise scale.
The Must Haves:
- Strong programming experience in Python(mandatory), with GitHub-hosted pet projects in AI that can be evaluated.
- Hands-on experience with Google ADK (or equivalent AI development kits).
- Familiarity with workflow automation tools such as n8n or similar.
- Understanding of agentic AI technologies (LLMs, multi-agent orchestration, tool integrations).
- Solid grasp of APIs, integration tools, JSON, and REST.
- Enthusiasm for applied AI engineering and ability to quickly learn new frameworks.
- Strong collaboration skills, with the ability to deliver AI features as part of agile teams.
Assets:
- Demonstrated AI pet projects that showcase creativity and problem-solving in automation, workflows, or agentic AI — these will be used as part of the candidate evaluation process.
- Familiarity with MCP or other agentic AI ecosystems.
- Experience applying AI within microservices-based architectures.
- Knowledge of Agile Scrum practices and collaboration tools (JIRA, Bitbucket).
- Exposure to CI/CD pipelines (Team City, Jenkins, etc.).
The pay range for this position is $25.00-34.00
Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available.
In addition to competitive compensation, Ciena offers students access to the Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation pay as required by applicable laws.
Not ready to apply? Join our Talent Community to get relevant job alerts straight to your inbox.
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.
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About Ciena

Ciena
Series CCiena collaborates with customers to unlock the strategic potential of their networks and change the way they perform and compete.
5,001-10,000
Employees
Linthicum Heights
Headquarters
Reviews
3.9
10 reviews
Work Life Balance
4.2
Compensation
2.8
Culture
4.1
Career
3.8
Management
2.5
68%
Recommend to a Friend
Pros
Good work-life balance
Great learning opportunities and mentorship
Smart colleagues and team environment
Cons
Below average/low salary compared to industry
Mass layoffs and job insecurity
Stressful work environment
Salary Ranges
73 data points
Mid/L4
Senior/L5
Mid/L4 · Lead, Data Engineering
1 reports
$206,590
total / year
Base
$158,915
Stock
-
Bonus
-
$206,590
$206,590
Interview Experience
1 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
News & Buzz
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