Hiring: Lead Specialist, AI Scientist Company: Pearson Location: Denver, CO Job Posted Time: 2026-09-10 07:43:12 Employment Type: Full-time / Remote Target Skills & Keywords : AI, AWS, Azure, CI/CD, LLM, LangChain, MLOps, Machine Learning, Python, RAG About the job Experience: •5+ years of experience building and deploying production AI/ML systems, including cloud-native applications and MLOps practices. Required Skills: •We are seeking a strategic and hands-on Lead Specialist- AI Scientist to design, build, deploy, and scale production AI/ML capabilities that power Pearson's learner intelligence, knowledge graphs, recommendations, personalized learning experiences, and next-generation AI products. •Lead the design, development, deployment, and operation of production AI capabilities supporting learner intelligence, personalization, recommendations, knowledge graphs, and AI-powered learning experiences. •Design and deliver Generative AI, LLM, retrieval-augmented generation (RAG), and agentic AI solutions that create measurable product and business impact. •Build reusable AI platform capabilities, services, APIs, and workflows that accelerate AI adoption across Pearson products. •Own the end-to-end AI delivery lifecycle, from experimentation and prototyping through deployment, monitoring, evaluation, and continuous improvement. •Establish scalable MLOps and AIOps practices for model training, deployment, observability, governance, reliability, and operational excellence. •Partner closely with Product, Engineering, Design, Learning Science, and Data Science teams to identify opportunities and deliver impactful AI-powered capabilities. •Evaluate emerging AI technologies, foundation models, and architectural approaches while balancing quality, safety, scalability, latency, and cost. Qualifications: •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. •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. •Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related discipline. •Operational familiarity with psychometrics, proficiency modeling, Bayesian methods, item response theory, or educational measurement. •Contributions to research, patents, open-source projects, or industry thought leadership. Compensation: •$150,000 - $190,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!