Generative AI Architect – Telecom(NCS/Job/ 1595)

We are hiring a Generative AI Architect with expertise in building LLM-driven solutions tailored for telecom networks and to lead the design, development, and deployment of AI/ML solutions with a focus on generative models (LLMs, diffusion models, etc. Candidate will lead the design of Gen AI applications for automated network troubleshooting, customer service bots, document summarization, and knowledge retrieval using telecom data. He should have a deep understanding of AI architecture and experience building enterprise-grade solutions using Gen AI technologies

Key Responsibilities:

• Architect Gen AI use cases in telecom like NOC support automation, chatbot assistants, and tech manuals summarization.
• Design RAG pipelines integrating telco knowledge bases and logs with LLMs.
• Fine-tune and deploy open-source or proprietary LLMs (e.g., GPT, Falcon, LLaMA) on telco-specific corpora.
• Collaborate with network engineers to integrate Gen AI insights into OSS/BSS workflows.
• Implement prompt orchestration and model evaluation frameworks.
• Evaluate and integrate APIs from OpenAI, Google Vertex AI, AWS Bedrock, etc
• Work closely with data engineers, MLOps teams, and product owners to deliver scalable Gen AI solutions

Requirements:

• Experience with Gen AI tools (LangChain, RAG, Hugging Face, vector DBs like Milvus, Pinecone).
• Domain knowledge of telecom data (alarm logs, OSS, ticketing systems, network KPIs).
• Proficiency in Python, PyTorch, TensorFlow, Transformers, and APIs (OpenAI, Anthropic, Bedrock).
• Strong architectural experience in cloud (AWS, GCP, Azure); Telecom cloud platforms (e.g., Nokia AVA, Ericsson AI/ML).