---
title: "Technical Lead, Artificial Intelligence"
company: "Parallel Wireless"
company_url: "https://www.remjobs.works/companies/parallel-wireless"
url: "https://www.remjobs.works/job/parallel-wireless-technical-lead-artificial-intelligence-43eab453-021c-4531-b8cb-1d6a8b0bfdfc"
apply_url: "https://jobs.lever.co/parallelwireless/d1f8165d-a13b-47d4-b4e4-9c22d12cd6ba"
workplace: hybrid
location: "Kfar Saba"
employment_type: full-time
seniority: lead
role: ai-machine-learning
region: other
skills: ["llm", "python", "pytorch"]
date_posted: 2026-09-15T10:23:30.689Z
first_seen_by_remjobs: 2026-09-15T19:00:37.940Z
---

# Technical Lead, Artificial Intelligence

**Parallel Wireless** · Kfar Saba

Apply: https://jobs.lever.co/parallelwireless/d1f8165d-a13b-47d4-b4e4-9c22d12cd6ba

## About Parallel Wireless

Parallel Wireless is leading the OpenRAN movement with the world's first 5G/4G/3G/2G cloud-native Open RAN architecture for rural and urban. Our customers include over 60 global mobile operators.

## About the role

We are building the AI layer of the Radio Access Network, applying agentic AI, machine learning, and LLMs to real RAN challenges — from network operations and root cause analysis to PHY simulation and uplink link adaptation.

We are looking for a Technical Lead to own the end-to-end architecture and technical direction of these AI systems. This is a hands-on senior individual contributor role, combining architecture, coding, technical leadership, and mentorship.

You will work from our Kfar Saba site alongside RAN, PHY, and software teams, building production-grade AI solutions for real cellular networks.

##### What you'll do:

- Define the end-to-end architecture for AI/ML systems, including agent orchestration, model serving, data pipelines, RAG, and evaluation infrastructure.

- Drive technical decisions around models, frameworks, deployment strategies, and build-vs-buy approaches.

- Prototype and implement critical components while setting engineering and code-quality standards.

- Lead AI solutions from prototype to production, including CI/CD, monitoring, model lifecycle, versioning, and rollback.

- Establish evaluation frameworks, benchmarks, and safety criteria for AI systems operating on network data.

- Mentor engineers through architecture discussions, design reviews, and code reviews.

- Collaborate with RAN Systems, PHY, L2/L3, Product, and customer-facing teams to translate network challenges into practical AI/ML solutions.

- Contribute to technical roadmap discussions and customer-facing architecture discussions.

##### What you should have:

- 7+ years of experience in software or ML engineering, with significant experience delivering production systems.

- Proven technical leadership and experience owning the architecture of complex systems end to end.

- Strong Python skills and hands-on experience with PyTorch or similar ML frameworks.

- Practical experience with LLM-based systems, including agents, tool calling, RAG, orchestration, prompt/context engineering, and evaluation.

- Strong understanding of classical ML, including time-series analysis, anomaly detection, and supervised learning.

- Working knowledge of 4G/5G RAN architecture, L1/L2/L3, network KPIs, and cellular network operations.

- Experience with MLOps, containers, CI/CD, experiment tracking, model monitoring, and production deployment.

- Excellent English and strong technical communication skills.

##### Nice to have:

- Hands-on experience in RAN, wireless infrastructure, telecom operators, or chipset companies.

- Knowledge of O-RAN, RIC, rApps/xApps, and E2/A1/O1 interfaces.

- Experience with link adaptation, scheduling, RRM, channel modeling, or PHY simulation.

- Experience with reinforcement learning or contextual bandits for real-world control problems.

- Experience deploying ML models in real-time or resource-constrained environments.

- Background in signal processing, communications, or information theory.

- M.Sc. / Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.

---

Source: Parallel Wireless's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/parallel-wireless-technical-lead-artificial-intelligence-43eab453-021c-4531-b8cb-1d6a8b0bfdfc