Lumen connects the world and is igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. The role is to provide technical direction in the creation, delivery, and integration of multiple and moderately complex software solutions, specifically focusing on Enterprise AI applications.
Requirements
- 7+ years of enterprise-scale experience in designing, implementing, and deploying AI/ML models
- 7+ years of experience working with cloud-based AI platforms, including Azure AI Foundry and AWS Bedrock
- 7+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications
- Strong experience in natural language processing (NLP) and generative AI applications
- Expertise in AIOps, model lifecycle management, and AI model deployment at scale
- Proficient in Python and related libraries and SQ
- Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred
Responsibilities
- Lead development and deployment of Enterprise AI applications leveraging both supervised and unsupervised learning techniques
- Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven apps
- Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement
- Develop data pipelines for ingestion, transformation, and storage to support AI workloads
- Design and implement scalable solutions using cloud-based AI platforms such as Azure AI Foundry or AWS Bedrock
- Implement AIOps best practices, including CI/CD for model training, validation, deployment, and monitoring
- Develop generative AI models for personalized customer experiences and automation of complex decision-making processes
Other
- Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning or Data Science
- Strong problem-solving skills and a deep understanding of statistical and mathematical principles
- Fluent in one or more object oriented languages like C, C++, Scala, Java, and scripting languages like Python or Ruby
- Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs
- Experience in the Telecom industry, particularly in Network or Orchestration
