Remote AI Scientist Lead GenAI, LLMs & Knowledge Graphs

AI Facile; Trenton (NJ); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Annual incentive program

Job summary

Pearson is seeking a strategic and hands-on Lead Specialist- AI Scientist to design, build, deploy, and scale production AI/ML capabilities powering learner intelligence, knowledge graphs, and personalized learning experiences.

The role bridges AI research, data science, software engineering, and product delivery. You will lead ML/LLM, RAG, and agentic AI solutions from concept to production, with an emphasis on measurable learner and business outcomes.

Qualifications

• 5+ years of experience building production AI/ML systems.
• Strong experience with Generative AI, LLMs, RAG architectures, knowledge graphs, or agentic AI solutions.
• Hands-on experience with foundation models and modern AI frameworks.
• Proficiency in Python and production software practices, including APIs, testing, CI/CD.
• Experience designing scalable AI platforms and deployment architectures in AWS or similar cloud environments.

Responsibilities

• Lead the design, deployment, and operation of production AI capabilities powering 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 components, 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.
• Establish best practices for responsible AI, model evaluation, prompt engineering, agent evaluation, and AI governance.
• Mentor engineers and data scientists and help elevate AI engineering capabilities across the organization.
• Communicate technical strategy, architecture decisions, trade-offs, risks, and outcomes to stakeholders across the business.

Skills

Python

MLOps

Cloud/AWS

Generative AI

APIs & DevOps

Education

Bachelor's degree in CS/Engineering/Data Science

Master's degree or PhD preferred

Tools

AWS

LangChain

LangGraph

OpenAI

Azure OpenAI

Bedrock

Semantic Kernel

Vector databases

Job description

Pearson is seeking a strategic and hands-on Lead Specialist- AI Scientist to design, build, deploy, and scale production AI/ML capabilities powering learner intelligence, knowledge graphs, and personalized learning experiences.

The role bridges AI research, data science, software engineering, and product delivery. You will lead ML/LLM, RAG, and agentic AI solutions from concept to production, with an emphasis on measurable learner and business outcomes.