Gen AI / AIML SME - Telecom Networks

Gen AI Engineer Telecom Networks

Experience Range: 8 Years+

Location: Preferably Gurgaon, Delhi - NCR

Role Type: Full-time

Role Overview

We are seeking a GenAI Engineer with strong Telecom Network expertise to design, develop, and implement Generative AI solutions across various telecom systems and processes. The role requires a unique blend of telecom domain knowledge, AI/ML engineering skills, and hands-on GenAI implementation experience. The professional will collaborate with domain experts in Network Planning, Operations, Transport, Wireless, and Telco Cloud to deliver AI-driven network insights, automation, and next-gen customer experiences.

Key Responsibilities

GenAI Solution Development

• Design and implement GenAI-based applications for telecom network domains (e.g., NOC copilots, automated RCA assistants, network testing script generators).
• Build and fine-tune domain-specific LLMs and prompt libraries for telecom operations, planning, and assurance.
• Develop RAG (Retrieval-Augmented Generation) pipelines integrating GenAI with OSS/BSS, network data, and knowledge bases.
• AI/ML Engineering
• Collaborate with data engineers to build telecom-specific feature stores and data pipelines.
• Train ML models for predictive maintenance, anomaly detection, KPI forecasting, and integrate them with GenAI workflows.
• Optimize models for low-latency inference in real-time network environments.

Telecom Domain Collaboration

• Work with SMEs from Wireless, Transport, Cloud, and Core to contextualize GenAI solutions for network challenges.
• Translate domain requirements into AI/GenAI workflows (e.g., alarm storm reduction assistant,” “energy optimization recommender”).
• Develop APIs, microservices, or integration layers with OSS/BSS, orchestration, and ITSM platforms.

Innovation & Delivery

• Contribute to building the AI/GenAI Practice Team IP (prompt repositories, reusable GenAI frameworks).
• Evaluate emerging GenAI models and tools for relevance to telecom (e.g., LLaMA, GPT, Claude, Gemini, Mistral).
• Support pre-sales, PoCs, and client workshops to showcase GenAI use cases in telecom networks.

Required Skills & Experience

Core Technical Skills

• Strong hands-on experience with GenAI frameworks: LangChain, LlamaIndex, HuggingFace Transformers, RAG implementations.
• Proficiency in Python (must-have), with experience in building APIs/microservices (FastAPI/Flask/Django).
• Knowledge of Vector Databases (Pinecone, Weaviate, Milvus, FAISS).
• Cloud experience with Azure OpenAI, AWS Bedrock, or GCP Vertex AI.
• Experience in fine-tuning/few-shot prompting for LLMs.
• Familiarity with MLOps/LLMOps pipelines (MLflow, Kubeflow, or equivalent).

Telecom Network Skills

• Understanding of OSS/BSS systems and telecom network data flows.
• Exposure to domains such as RAN KPIs, Transport performance, Fault/Event/Alarm management, Network Planning, Telco Cloud orchestration.
• Experience in applying AI/ML to telecom datasets (KPI prediction, anomaly detection, alarm correlation, capacity planning).

Professional Skills

• Strong problem-solving mindset with ability to design domain-aware GenAI solutions.
• Experience in client-facing roles (workshops, solutioning, PoC presentations).
• Ability to collaborate with cross-functional teams (data engineers, network SMEs, cloud architects).
• Good communication skills with ability to simplify complex AI concepts for business stakeholders.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Telecommunications, Data Science, or related field.
• Certifications in AI/ML, Cloud (Azure/AWS/GCP), or Telecom (TM Forum, 5G, Open RAN) preferred.

What We Offer

• Opportunity to work at the intersection of AI, GenAI, and Telecom Networks on cutting-edge projects.
• Exposure to global telecom operators and their next-gen network transformation journeys.
• Collaborative environment with domain experts, AI practitioners, and thought leaders.
• Continuous learning support for AI/ML, GenAI, and Telecom domain certifications.

Note: This role is ideal for someone who has grown from AI/ML engineering into GenAI solutions and has at least some telecom domain exposure (directly or indirectly).