Senior Lead Applied AI Scientist: Production ML/LLMs

Lumen; Providence (RI); Remote; USD 185,000 - 231,000; Full time

Benefits offered by this job

Health benefits

Life insurance

Wellbeing programs

Job summary

Lumen, a leading AI-ready connectivity company, is seeking a Senior Lead Applied AI Scientist to design, build, deploy, and scale production AI solutions across agents, generative AI, and ML workloads. You will partner with business, product, and engineering leaders to translate opportunities into measurable impact and own critical AI initiatives.

The role requires hands-on expertise in ML, LLMs, and MLOps, with a strong product mindset and ability to communicate complex concepts to technical

Qualifications

• Seven plus years of applied AI experience with production deployments.
• Proven track record delivering AI solutions with measurable business impact.
• Deep expertise in ML, statistics, experimentation, and modern AI techniques.
• Hands-on with LLM, RAG, agentic, and ML solutions.

Responsibilities

• Design, build, and deploy production-scale AI solutions end-to-end.
• Partner with business and product teams to define success metrics.
• Develop AI systems using ML, generative AI, retrieval, and agents.
• Define evaluation frameworks; improve quality, safety, and cost.
• Collaborate with Engineering on scalable MLOps/LLMOps.
• Create reusable frameworks and technical standards.
• Provide technical leadership and mentorship on AI initiatives.

Skills

Python

PyTorch

TensorFlow

Hugging Face

MLflow

MLOps

LLMOps

Agentic architectures

APIs

Cloud platforms

Education

Master's degree

PhD in CS/AI

Tools

Cloud AI platforms

Job description

Lumen, a leading AI-ready connectivity company, is seeking a Senior Lead Applied AI Scientist to design, build, deploy, and scale production AI solutions across agents, generative AI, and ML workloads. You will partner with business, product, and engineering leaders to translate opportunities into measurable impact and own critical AI initiatives.

The role requires hands-on expertise in ML, LLMs, and MLOps, with a strong product mindset and ability to communicate complex concepts to technical