Senior AI Engineer

Summary:

VIAVI Solution CTO office seeks a highly motivated Senior AI Engineer passionate about cutting-edge artificial intelligence and telecommunications technologies. This role will focus on the rapid design, development, and deployment of 6G and AI-driven solutions, leveraging Generative AI, Large Language Models (LLMs), Agentic AI architectures, 6G Digital twins, and open-source frameworks. The ideal candidate brings hands-on experience in fast prototyping within native cloud environments and a working understanding of telecom and wireless systems and data analysis.
As part of our innovation team, you will collaborate with CTO leadership, AI solutions architects, data scientists, and RF and telecom engineers to deliver scalable AI for 6G digital twin solutions that address real-world challenges in the upcoming 6G telecommunications domain, including self-healing networks, automation, intelligent decision-making, customer experience enhancement, and network optimization.

Duties & Responsibilities:

Key Responsibilities:

• Lead the development and fast prototyping of AI-based 6G Digital twin and AI solutions incorporating Agentic AI within telecom workflows.
• Develop and maintain prototypes and MVPs using cloud platforms and on-prem infrastructure.
• Collaborate with telecom subject matter experts to understand network architectures (6G, 5G, Open RAN, OSS/BSS systems) and translate business needs into AI solutions.
• Design and implement data pipelines for telecom data, including structured and unstructured data.
• Ensure best practices in model evaluation, validation, explain ability, and monitoring.
• Stay current with emerging research, open-source contributions, and industry trends in AI/ML, Generative AI, and Telecom AI applications.
• Develop heterogeneous systems that integrate hardware instruments and monitoring systems with cloud-based AI.
• Mentor junior engineers and contribute to a collaborative team environment.

Pre-Requisites / Skills / Experience Requirements:

Required Qualifications:

• Master’s degree (preferred) in Computer Science, Electrical Engineering, Data Science, or related fields.
• Minimum of 3+ years of experience in ML Engineering, with deep expertise in supervised and unsupervised ML, not just GenAI applications.
• Proven track record of successfully shipping AI solutions from concept to deployment, demonstrating the ability to own the complete lifecycle of ML development.
• Demonstrable experience developing GenAI applications, including Agent-based architectures.
• Experience working cross-organizationally to identify and integrate technology streams into a common solution.
• Strong programming skills in Python.
• Hands-on experience with TensorFlow or PyTorch.
• Hands-on experience curaiting datasets, and finetuning LLMs.
• Hands-on experience with GenAI development technologies and Agentic AI frameworks (Llamaindex, CrewAI, LangChain, HuggingFace, OpenAI APIs,…).
• Extensive experience with the complete MLOps workflow, encompassing data processing, training infrastructure, and deployment infrastructure.
• Ability to thrive in a fast-paced environment as a member of a fast prototyping team.

Preferred Skills:

• Basic telecom concepts, including RF network architectures, protocols, or telecom-specific data types.
• Experience with telecom network optimization, anomaly detection, or predictive analysis.
• Basics of RF planning, network slicing, Open RAN, or OSS/BSS systems.
• Knowledge of data engineering concepts and technologies (Kafka, Spark Streaming, etc.).
• Contributions to open-source AI projects or active participation in AI communities.