Staff Applied AI Scientist
About The Position
Lumen is seeking a highly technical, product-minded applied AI scientist to design, build, deploy, and continuously improve production-scale AI solutions, including agentic, generative AI, and machine learning systems. The role partners with business, product, engineering, and technology leaders to turn high-value opportunities into AI-powered solutions with measurable business impact. The position combines expertise in AI and machine learning with software engineering, experimentation, and product delivery. The successful candidate will rapidly prototype, evaluate, and scale AI systems, while helping stakeholders navigate technical and business tradeoffs. The role also provides technical leadership, mentorship, and guidance on complex AI initiatives.
Requirements
- Seven or more years of experience in applied AI, machine learning, or data science, including production AI deployments.
- A proven track record of delivering AI solutions that drive measurable business outcomes.
- Deep expertise in machine learning, statistics, experimentation, predictive analytics, and modern AI techniques.
- Hands-on experience building LLM, RAG, agentic, and machine learning solutions.
- Strong experience with AI evaluation, model performance optimization, responsible AI, and production monitoring.
- Proficiency in Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, MLflow, or similar technologies.
- Experience with MLOps, LLMOps, cloud AI platforms, APIs, and software engineering best practices.
- A strong product mindset, problem-solving skills, and ability to communicate complex concepts with technical and business stakeholders.
Nice To Haves
- Master's degree or PhD in Computer Science, AI, Machine Learning, Statistics, or a related quantitative field.
- One or more years of experience building agent-based solutions.
- Experience operating enterprise-scale AI solutions in regulated or security-sensitive environments.
- Experience leading complex, cross-functional AI initiatives.
- Contributions to AI research, patents, publications, or open-source projects.
Responsibilities
- Design, build, and optimize AI solutions from concept through production deployment.
- Partner with business and product teams to identify opportunities, define success metrics, and validate value through rapid experimentation.
- Develop AI systems using machine learning, generative AI, retrieval, predictive modeling, and agentic architectures.
- Define evaluation frameworks and continuously improve AI quality, reliability, safety, performance, and cost.
- Partner with Engineering to deliver scalable, production-ready solutions using MLOps and LLMOps best practices.
- Contribute reusable frameworks, evaluation assets, and technical standards that accelerate enterprise AI adoption.
- Provide technical leadership, mentorship, and guidance on complex AI initiatives.
Benefits
- A comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits, and other perks supporting physical, mental, emotional, and financial wellbeing.
- Bonus structure may include short-term incentives, long-term incentives, and/or sales compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
