AI Engineer – Telecom, Cloud & Network Engineering

As an AI Engineer, you will design and build AI-driven solutions to optimize and automate network operations. You’ll leverage technologies like LLMs and Retrieval-Augmented Generation (RAG) to extract insights from complex data, enhance diagnostics, and drive intelligent decision-making. Your work will span network testing, anomaly detection, performance prediction, and auto-remediation. Collaborating closely with engineering, operations, and SRE teams, you’ll ensure seamless integration and adoption of AI across workflows.

 

AI-Powered E2E Integration & Verification

• Develop AI-driven test automation frameworks for network verification & validation.
• Implement machine learning models for anomaly detection, fault diagnostics, and performance optimization.
• Use LLMs & RAG for automated knowledge retrieval from network logs, documentation, and incident reports.
• Automate test case planning, execution, and reporting using AI/ML techniques.

AI for Network Operations & Cloud Optimization

• Deploy AI-driven resource allocation, predictive maintenance, and capacity planning models.
• Build LLM-powered assistants for automated troubleshooting and intelligent recommendations.
• Implement RAG-based AI solutions to enhance security monitoring and incident response in telecom networks.
• Optimize cloud-based network solutions using AI-driven observability and forecasting.

AI-Driven Site Reliability Engineering (SRE)

• Develop AI models for proactive monitoring, root cause analysis, and auto-remediation of network incidents.
• Implement LLM-based chatbots to support network operations and incident management teams.
• Enhance self-healing capabilities in networks through AI-powered automation.
• Apply multi-agent AI systems to improve autonomous network resilience.

• University degree in Computer Science, Electrical Engineering, or a related field.
• Experience in AI, ML, or Data Science with potential exposure to telecom, cloud, and network engineering.
• Expertise in AI/ML, LLMs, RAG frameworks, and intelligent data retrieval.
• Hands-on experience with Python, TensorFlow/PyTorch, LangChain, Hugging Face, and vector databases.
• Familiarity with cloud platforms (AWS, Azure, GCP)/ Openshift/ Kubernetes/Helm and MLOps tools.
• Understanding of telecom networks (5G, 4G, SDN, NFV, OSS/BSS), DevOps, and automation considered as a plus.

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.