Lead Specialist, AI Scientist

Expected Results

Qualifications

• 5+ years of experience building and deploying production AI/ML systems, including cloud-native applications and MLOps practices.
• Strong experience with applied machine learning, Generative AI, LLMs, RAG architectures, recommendation systems, knowledge graphs, or agentic AI solutions.
• Hands-on experience building and deploying AI applications using foundation models and modern AI frameworks.
• Proficiency in Python and modern software engineering practices, including APIs, testing, CI/CD, version control, and production operations.
• Experience designing scalable AI platforms, services, and deployment architectures in AWS or similar cloud environments.
• Experience with containerization, orchestration, infrastructure-as-code, and production-grade deployment practices.
• Experience evaluating, monitoring, and optimizing AI systems for quality, reliability, safety, latency, scalability, and cost.
• Experience with modern AI technologies such as OpenAI, Anthropic, Bedrock, Azure OpenAI, LangGraph, LangChain, Semantic Kernel, vector databases, or similar platforms.
• Strong collaboration and communication skills with product, engineering, and business stakeholders.
• Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical experience.

Preferred Qualifications

• Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related discipline.
• Experience in educational technology, personalized learning, assessment, learning science, or related domains.
• Familiarity with psychometrics, proficiency modeling, Bayesian methods, item response theory, or educational measurement.
• Experience building AI platforms, knowledge graph solutions, or agentic systems at enterprise scale.
• Contributions to research, patents, open-source projects, or industry thought leadership.
• Apply now and help shape the future of learning.
• Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:
• The minimum full-time salary range is between $150,000 - 190,000.
• This position is eligible to participate in an annual incentive program, and information on benefits offered is here.
• Applications will be accepted through August 30th. This window may be extended depending on business needs.

Who we are

Schedule

• FULL_TIME

Workplace Type

• Hybrid
• Req ID: 24600