Senior AI Scientist: Generative AI & MLOps Leader

Pearson; Springfield (IL); On-site; USD 150,000 - 190,000; Full time

Job summary

Pearson is seeking an experienced AI/ML leader to design and deploy production AI capabilities that power personalized learning experiences. You will build scalable AI platforms, APIs, and workflows, collaborate with cross-functional teams, and drive responsible AI governance and best practices across the organization.

You will lead end-to-end AI delivery from prototyping to production, ensuring reliability, observability, and cost efficiency in a cloud-native environment.

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.
• 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 the design, development, deployment, and operation of production AI capabilities.
• Design and deliver Generative AI, LLM, and RAG solutions that create measurable product impact.
• Build reusable AI platform capabilities, services, APIs, and workflows for Pearson products.
• Own the end-to-end AI delivery lifecycle from experimentation to monitoring and improvement.
• Establish scalable MLOps and AIOps practices for training, deployment, observability, governance, and reliability.
• Partner with Product, Engineering, Design, Learning Science, and Data Science teams to identify opportunities.
• 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 technical strategy, architecture decisions, trade-offs, risks, and outcomes to stakeholders.

Skills

AI/ML systems

Generative AI

LLMs

RAG architectures

Knowledge graphs

Agentic AI

Python

APIs & CI/CD

AWS

Kubernetes

Education

Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical experience

Tools

AWS

Kubernetes

Terraform

Job description

Pearson is seeking an experienced AI/ML leader to design and deploy production AI capabilities that power personalized learning experiences. You will build scalable AI platforms, APIs, and workflows, collaborate with cross-functional teams, and drive responsible AI governance and best practices across the organization.

You will lead end-to-end AI delivery from prototyping to production, ensuring reliability, observability, and cost efficiency in a cloud-native environment.