Lumen Technologies
Posted 11 days agoVerified live 10h ago
Applied AI Scientist
Brief overview
Remote
MastersOr in progress
$106k–$176k/yrStated range
3+ yrsMinimum
70 H-1B approvalsDept. of Labor
11 green cardsCertified filings
Machine LearningGenerative AIRetrieval-Augmented Generation (RAG)Natural Language Processing (NLP)Predictive ModelingStatisticsLarge Language Models (LLMs)Vector DatabasesPythonPyTorchTensorFlowHugging FaceLangChainMLflowCloud PlatformsMLOpsLLMOps
About the company
Lumen Technologieslumen.com
Lumen delivers the most secure platform for applications and data to help businesses, government and communities deliver amazing experiences
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.70H-1B approved
99%approval rate
14new H-1B hires
11PERM certified
$127,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202328
202417
202518
20267
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20237
20245
20258
20265
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20232
20243
20256
Top sponsored roles
Lead Software EngineerLead Software DeveloperSenior Software EngineerLead Software Developer - Full StackDirector of Program Management
Sponsored employees from
India
Job description
Summary
Lumen Technologies provides secure, high-performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities. The Applied AI Scientist will design, develop, deploy, and optimize AI-powered solutions, partnering with business, product, engineering, and technology teams to deliver production-ready capabilities. The role focuses on machine learning, generative AI, experimentation, evaluation frameworks, and scalable AI systems that improve customer experiences, operational efficiency, and business outcomes.
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
- A comprehensive package featuring a broad range of Life benefits
- A comprehensive package featuring a broad range of Voluntary Lifestyle benefits
- Other perks that enhance your physical, mental, emotional and financial wellbeing
