Applied AI Scientist

Summary

Lumen is a connectivity and AI infrastructure company serving enterprise, government, and community customers. The Applied AI Scientist will design, develop, deploy, and optimize AI-powered solutions, partnering with business, product, engineering, and technology teams to turn use cases into production-ready capabilities. The role focuses on machine learning, generative AI, experimentation, evaluation, and operationalizing scalable AI systems.

Responsibilities

• Design, develop, and deploy AI and machine learning solutions from proof of concept through production
• Partner with business and product stakeholders to identify use cases, define objectives, and measure impact
• Build solutions leveraging machine learning, generative AI, retrieval-augmented generation (RAG), NLP, predictive analytics, and agentic workflows
• Develop and maintain evaluation frameworks to ensure solution quality, accuracy, reliability, and performance
• Collaborate closely with Engineering teams to operationalize AI solutions using MLOps and LLMOps best practices
• Contribute reusable code, tools, models, and frameworks that accelerate AI adoption across the enterprise
• Stay current on emerging AI technologies and recommend innovative approaches to business challenges
• Contribute to technical best practices and knowledge sharing across the team

Skills

• 3+ years of experience in applied AI, machine learning, data science, or a related field
• Experience developing and deploying production AI or machine learning solutions
• Strong expertise in machine learning, statistics, predictive modeling, experimentation, and analytics
• Experience building solutions utilizing LLMs, RAG architectures, vector databases, and modern AI frameworks
• Proficiency in Python and common AI/ML toolsets such as PyTorch, TensorFlow, Hugging Face, LangChain, MLflow, or similar technologies
• Experience working with cloud platforms and production software environments
• Strong problem-solving skills and the ability to communicate technical concepts to diverse stakeholders
• Experience working in cross-functional agile teams
• Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative discipline
• Experience implementing Responsible AI and AI governance practices
• Experience supporting enterprise-scale AI initiatives
• Contributions to publications, patents, open-source projects, or professional AI communities

Qualifications

Must Haves

• 3+ years of experience in applied AI, machine learning, data science, or a related field
• Experience developing and deploying production AI or machine learning solutions
• Strong expertise in machine learning, statistics, predictive modeling, experimentation, and analytics
• Experience building solutions utilizing LLMs, RAG architectures, vector databases, and modern AI frameworks
• Proficiency in Python and common AI/ML toolsets such as PyTorch, TensorFlow, Hugging Face, LangChain, MLflow, or similar technologies
• Experience working with cloud platforms and production software environments
• Strong problem-solving skills and the ability to communicate technical concepts to diverse stakeholders
• Experience working in cross-functional agile teams

Nice to Haves

• Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative discipline
• Experience implementing Responsible AI and AI governance practices
• Experience supporting enterprise-scale AI initiatives
• Contributions to publications, patents, open-source projects, or professional AI communities

Benefits

• A comprehensive package featuring a broad range of Health benefits
• Life benefits
• Voluntary Lifestyle benefits
• Other perks that enhance your physical, mental, emotional and financial wellbeing
• Bonus structure, including short-term incentives, long-term incentives and/or sales compensation