AI Platform Lead: Learner Intelligence & Personalization

Pearson; Harrisburg (Dauphin County); On-site; USD 150,000 - 190,000; Full time

Job summary

Pearson is seeking a senior AI/ML leader to design, deploy, and operate production AI capabilities across learner intelligence, personalization, and knowledge graphs. You will build scalable AI platforms, establish MLOps/AIOps, and mentor engineers while partnering with product and data science teams to deliver measurable business impact.

The role emphasizes responsibility for end-to-end AI delivery, governance, and vendor evaluation in a fast-moving educational tech environment.

Qualifications

• 5+ years of experience building and deploying production AI/ML systems.
• Strong experience with applied ML, Generative AI, LLMs, RAG, recommender systems, knowledge graphs, or agentic AI.
• Hands-on experience with foundation models and modern AI frameworks.
• Proficiency in Python and API/CI/CD practices for production.
• Experience designing scalable AI platforms and deployment architectures in AWS or similar.
• Experience with containerization, orchestration, IaC, and production-grade deployments.
• Ability to evaluate, monitor, and optimize AI systems for quality, latency, cost.
• Familiarity with OpenAI, Anthropic, Bedrock, Azure OpenAI, LangGraph, LangChain, or similar platforms.
• Strong collaboration skills with product, engineering, and business stakeholders.
• Bachelor-level degree in relevant field

Responsibilities

• Lead the design, development, deployment, and operation of production AI capabilities.
• Design and deliver Generative AI, LLM, RAG, and agentic AI solutions with measurable impact.
• Build reusable AI platform capabilities, services, APIs, and workflows.
• Own end-to-end AI delivery lifecycle from experimentation to continuous improvement.
• Establish scalable MLOps and AIOps practices for training, deployment, observability, governance, reliability.
• Partner with Product, Engineering, Design, Learning Science, and Data Science teams.
• Evaluate emerging AI technologies while balancing quality, safety, scalability, latency, and cost.
• Establish best practices for responsible AI, model evaluation, prompt engineering, and governance.
• Mentor engineers and data scientists to elevate AI engineering capabilities.
• Communicate strategy, architecture decisions, risks, and outcomes to stakeholders.

Skills

Gen AI & LLMs

RAG architectures

Knowledge graphs

MLOps

Python

APIs & CI/CD

Cloud (AWS)

Cross‑functional collaboration

Education

Bachelor's degree in CS/Engineering/Data Science/AI/ML

Master's or PhD in CS/AI/ML (preferred)

Tools

OpenAI

Anthropic

Bedrock

Azure OpenAI

LangGraph

LangChain

Semantic Kernel

Vector databases

Job description

Pearson is seeking a senior AI/ML leader to design, deploy, and operate production AI capabilities across learner intelligence, personalization, and knowledge graphs. You will build scalable AI platforms, establish MLOps/AIOps, and mentor engineers while partnering with product and data science teams to deliver measurable business impact.

The role emphasizes responsibility for end-to-end AI delivery, governance, and vendor evaluation in a fast-moving educational tech environment.