AI Engineering Team Manager

Parallel Wireless is looking for an experienced AI Engineering Manager to lead our AI team within R&D and drive the development and integration of AI capabilities across our RAN product portfolio.

The team works on production-focused AI solutions, including agentic AI for network operations, AI-driven optimization and automation, technical assistants, and automated root cause analysis. In this role, you will combine technical leadership, people management, and execution ownership to take AI initiatives from concept through productization and measurable impact.

You will define the technical direction and roadmap, lead and grow a multidisciplinary team of AI/ML, software and domain engineers, and work closely with R&D, Product, Systems and global teams to bring scalable AI capabilities into our products.

What you will do:

Lead the AI team and own its technical direction, roadmap and execution.
Drive AI/ML initiatives from concept and prototyping through production deployment and ongoing optimization.
Define clear success metrics and ensure AI solutions deliver measurable product and business impact.
Lead architecture and technical decision-making around AI models, platforms, tools and data.
Build and grow a strong multidisciplinary team, including recruitment, mentoring, performance management and career development.
Establish strong engineering practices around evaluation, scalability, reliability, monitoring and model lifecycle management.
Work closely with Product Management, Systems Engineering and R&D teams across Israel, India and the US.
Partner with RAN and domain experts to identify opportunities where AI can improve network performance, automation and operational efficiency.
Support customer-facing discussions, trials and PoCs where relevant.

What you should have:

3+ years of experience leading engineering teams, with responsibility for people management, hiring and delivery.
8+ years of experience in software, systems or AI/ML engineering, with a strong technical background.
Proven experience delivering ML or LLM-based solutions into production, with measurable impact and ownership from development through deployment.
Strong understanding of modern AI technologies and architectures, including LLMs, RAG, AI agents, tool calling, evaluation methodologies and MLOps/LLMOps.
Hands-on familiarity with relevant technologies such as Python, PyTorch, vector databases and modern AI development frameworks.
Strong ability to evaluate AI opportunities, define technical approaches and translate them into practical, scalable solutions.
Experience building and developing high-performing technical teams.
Experience working in a global, cross-functional R&D environment.
Fluent English, written and spoken.

What is nice to have:

Experience in telecom, RAN, wireless communications, real-time systems or another complex technology domain.
Knowledge of 4G/5G technologies and network architecture.
Experience applying ML/AI to network, operational or time-series data.
Experience developing AI assistants, agentic systems or intelligent automation solutions.
Experience delivering products to enterprise or telecom customers with high requirements for reliability and performance.

Education:

B.Sc. or M.Sc. in Computer Science, Electrical Engineering or a related field.