Senior Applied AI Scientist - Production ML & LLMs

Lumen; Honolulu (HI); On-site; USD 160,000 - 266,000; Full time

Job summary

Lumen is seeking a highly technical Senior Lead Applied AI Scientist to design, build, deploy, and continuously improve production-scale AI solutions across agents, generative AI, ML and more. You will partner with business, product, and engineering leaders to translate opportunities into measurable AI-powered impact.

The role combines deep AI expertise with software engineering, experimentation, and product delivery, with hands-on prototyping and scalable deployment taking center stage.

Qualifications

• Seven plus years of experience in applied AI, ML, or data science, including production deployments.
• Proven track record delivering AI solutions with measurable business impact.
• Deep expertise in ML, statistics, experimentation, predictive analytics, and modern AI techniques.
• Hands-on experience building LLM, RAG, agentic, and ML solutions.
• Strong experience with AI evaluation, model performance optimization, responsible AI, and production monitoring.

Responsibilities

• Design, build, and optimize AI solutions from concept to production deployment.
• Partner with business and product teams to identify opportunities and define success metrics.
• Develop advanced AI systems leveraging ML, generative AI, retrieval, predictive modeling, and agentic architectures.
• Define evaluation frameworks and continuously improve quality, reliability, safety, performance, and cost.
• Collaborate with Engineering to deliver scalable, production-ready solutions using MLOps and LLMOps.

Skills

AI/ML expertise

Python

MLOps

LLMOps

Product mindset

Stakeholder communication

Education

Master's or PhD in CS/AI/Statistics

Tools

PyTorch

TensorFlow

Hugging Face

MLflow

Job description

Lumen is seeking a highly technical Senior Lead Applied AI Scientist to design, build, deploy, and continuously improve production-scale AI solutions across agents, generative AI, ML and more. You will partner with business, product, and engineering leaders to translate opportunities into measurable AI-powered impact.

The role combines deep AI expertise with software engineering, experimentation, and product delivery, with hands-on prototyping and scalable deployment taking center stage.