AI Scientist Lead for Personalization & Knowledge Graphs

AI Facile; Lansing (MI); Remote; USD 150,000 - 190,000; Full time

Job summary

Pearson is seeking a strategic, hands‑on Lead Specialist- AI Scientist to design, build, deploy, and scale production AI/ML capabilities powering learner intelligence and personalized experiences. You will bridge AI research, data science, software engineering, and product delivery across Pearson products.

The role requires leading end‑to‑end AI delivery, mentoring engineers, and partnering with Product, Engineering, Design, and Learning Science teams to deliver measurable outcomes.

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, 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.

Responsibilities

• Lead design, development, deployment, and operation of production AI capabilities powering learner intelligence and recommendations.
• Deliver Gen AI, LLM, RAG, and agentic AI solutions with measurable impact.
• Build reusable AI platform components, services, APIs, and workflows.
• Own end-to-end AI delivery lifecycle from prototyping to deployment and monitoring.
• Establish scalable MLOps and AIOps practices for training, deployment, observability, governance.
• Partner with Product, Engineering, Design, Learning Science, and Data Science teams.
• Evaluate emerging AI tech and architectural approaches balancing quality, latency, cost.
• Establish best practices for responsible AI, model evaluation, governance.
• Mentor engineers and data scientists to elevate AI engineering capabilities.
• Communicate strategy, architecture, trade-offs, risks, and outcomes to stakeholders.

Skills

Production AI/ML

Generative AI / LLM

AI applications

Python programming

Cloud platforms (AWS)

Containerization / IaC

AI system monitoring

Modern AI tech (OpenAI, etc)

Stakeholder collaboration

Bachelors in CS/AI

Education

Bachelor's degree in CS/AI

Tools

Docker

Kubernetes

Terraform

AWS

LangChain

Job description

Pearson is seeking a strategic, hands‑on Lead Specialist- AI Scientist to design, build, deploy, and scale production AI/ML capabilities powering learner intelligence and personalized experiences. You will bridge AI research, data science, software engineering, and product delivery across Pearson products.

The role requires leading end‑to‑end AI delivery, mentoring engineers, and partnering with Product, Engineering, Design, and Learning Science teams to deliver measurable outcomes.