Senior AI Platform Lead: Generative AI & RAG

Pearson; Boston (MA); On-site; USD 150,000 - 190,000; Full time

Job summary

Pearson is seeking an AI/ML Platform Engineer to lead the design, development, deployment, and operation of production AI capabilities across learner intelligence and personalization. You will build reusable platform components, APIs, and workflows to accelerate AI adoption in Pearson products.

In this role you will mentor engineers, partner with product and data science teams, and establish scalable MLOps and governance practices, ensuring safe, reliable, and cost-efficient AI systems in

Qualifications

• 5+ years of experience building and deploying production AI/ML systems.
• Strong experience with Generative AI, LLMs, RAG architectures, or agentic AI.
• Hands-on experience with foundation models and modern AI frameworks.
• Proficiency in Python and APIs, testing, CI/CD, version control, and production operations.
• Experience designing scalable AI platforms and deployment on AWS or similar.

Responsibilities

• Lead 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 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 technologies while balancing quality, safety, latency, and cost.
• Establish best practices for responsible AI, evaluation, prompt engineering, and governance.
• Mentor engineers and data scientists to elevate AI engineering capabilities.
• Communicate technical strategy and trade-offs to stakeholders.

Skills

Python

APIs

CI/CD

MLOps

Production operations

AWS

Docker

Kubernetes

Infrastructure as Code

Education

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

Master's or PhD in CS/AI/ML/Statistics

Tools

AWS

Docker

Kubernetes

Infrastructure as Code

Job description

Pearson is seeking an AI/ML Platform Engineer to lead the design, development, deployment, and operation of production AI capabilities across learner intelligence and personalization. You will build reusable platform components, APIs, and workflows to accelerate AI adoption in Pearson products.

In this role you will mentor engineers, partner with product and data science teams, and establish scalable MLOps and governance practices, ensuring safe, reliable, and cost-efficient AI systems in