Senior Lead: Production-Ready AI Scientist

Lumen

Trenton (NJ)

Remote

USD 194,000 - 242,000

Full time

14 days+
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Benefits offered by this job

Health benefits
Life benefits
Voluntary lifestyle benefits
Bonus structure

Job summary

Lumen is seeking a highly technical Senior Lead Applied AI Scientist to design, build, deploy, and improve production-scale AI solutions. You’ll partner with business, product, and engineering leaders to translate high-value opportunities into measurable AI-powered impact.

The role blends deep AI/ML expertise with software engineering, experimentation, and product delivery, requiring hands-on prototyping and scalable system delivery.

Qualifications

  • 7+ years in applied AI, ML, or data science 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; production monitoring.

Responsibilities

  • Design, build, and deploy production-scale AI solutions end-to-end.
  • Partner with business/product teams to define success metrics and validate value.
  • Develop AI systems using ML, generative AI, retrieval, and agentic architectures.
  • Define evaluation frameworks; improve quality, reliability, safety, and cost.
  • Collaborate with engineering to deliver scalable, production-ready solutions (MLOps/LLMOps).
  • Contribute reusable frameworks and standards to accelerate AI adoption.
  • Provide technical leadership and mentorship on complex AI initiatives.

Skills

Applied AI
Machine learning
Data science
Production deployments
Experimentation
MLOps
LLMOps
Stakeholder communication

Education

Master's degree in CS/AI
PhD in CS/AI

Tools

Python
PyTorch
TensorFlow
Hugging Face
MLflow

Job description

Lumen is seeking a highly technical Senior Lead Applied AI Scientist to design, build, deploy, and improve production-scale AI solutions. You’ll partner with business, product, and engineering leaders to translate high-value opportunities into measurable AI-powered impact.

The role blends deep AI/ML expertise with software engineering, experimentation, and product delivery, requiring hands-on prototyping and scalable system delivery.

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