Senior AI Platform Engineer — Generative AI & LLMs

Pearson; Trenton (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

Pearson seeks an experienced AI Platform lead in New Jersey to design, deploy, and operate production AI capabilities powering personalized learner experiences. You will collaborate with product, engineering, and data science teams to deliver scalable AI services, knowledge graphs, and LLM-driven features.

Responsibilities include end-to-end AI delivery, experimentation through deployment, and building reusable platform components to accelerate adoption across Pearson products.

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.

Responsibilities

• 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.
• 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

AI/ML systems

Python

AWS cloud

MLOps

LLMs

Knowledge graphs

CI/CD

Communication

Education

Bachelor's degree in CS/Engineering

Master's or PhD in CS/AI

Tools

Docker

Kubernetes

Terraform

Git

REST APIs

Job description

Pearson seeks an experienced AI Platform lead in New Jersey to design, deploy, and operate production AI capabilities powering personalized learner experiences. You will collaborate with product, engineering, and data science teams to deliver scalable AI services, knowledge graphs, and LLM-driven features.

Responsibilities include end-to-end AI delivery, experimentation through deployment, and building reusable platform components to accelerate adoption across Pearson products.