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AI Engineering Manager
Not specifiedFull-timeEngineering ManagementTelecommunications
Lead an AI engineering team within a telecommunications R&D organization, guiding the development and productization of AI capabilities for Open RAN solutions.
Responsibilities
- Lead the AI team and own its technical direction, roadmap, and execution.
- Drive AI and machine learning initiatives from concept and prototyping through production deployment and optimization.
- Define success metrics and ensure solutions deliver measurable product and business impact.
- Lead architecture and technical decisions involving AI models, platforms, tools, and data.
- Recruit, mentor, and develop a multidisciplinary team of AI/ML, software, and domain engineers.
- Establish engineering practices for evaluation, scalability, reliability, monitoring, and model lifecycle management.
- Collaborate with product management, systems engineering, R&D, and global teams across Israel, India, and the United States.
- Partner with RAN and domain experts to identify opportunities for improved network performance, automation, and operational efficiency.
- Support customer discussions, trials, and proof-of-concept activities when relevant.
Requirements
- At least 3 years of engineering team leadership experience, including people management, hiring, and delivery ownership.
- At least 8 years of experience in software, systems, or AI/ML engineering.
- Proven experience delivering ML- or LLM-based solutions to production with measurable impact.
- Strong knowledge of LLMs, retrieval-augmented generation, AI agents, tool calling, evaluation methods, MLOps, and LLMOps.
- Familiarity with Python, PyTorch, vector databases, and modern AI development frameworks.
- Ability to assess AI opportunities, define technical approaches, and deliver practical, scalable solutions.
- Experience building and developing high-performing technical teams in a global, cross-functional R&D environment.
- Fluent written and spoken English.
- Bachelor’s or master’s degree in computer science, electrical engineering, or a related field.
Nice to have
- Experience in telecommunications, RAN, wireless communications, real-time systems, or another complex technology domain.
- Knowledge of 4G/5G technologies and network architecture.
- Experience applying AI or machine learning to network, operational, or time-series data.
- Experience developing AI assistants, agentic systems, or intelligent automation solutions.
- Experience delivering reliable, high-performance products to enterprise or telecommunications customers.