Software Engineer II - AI & Agentic Automation

About this role

Software Engineer – AI & Agentic Automation

Role Overview

The Software Engineer – AI & Agentic Automation is responsible for designing, developing, integrating, and deploying enterprise-grade Intelligent Automation and Agentic AI solutions. This role focuses on leveraging Agentic AI platforms, Large Language Models (LLMs), automation technologies, and enterprise systems to deliver scalable, secure, and high-impact automation solutions across Pearson business units.

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Key Responsibilities

Solution Design & Architecture

• Conduct feasibility studies and provide technical recommendations during the solution design phase.
• Design and implement multi-agent workflows for autonomous task execution with Human-in-the-Loop (HITL) controls.
• Create Solution Design Documents (SDDs) based on Process Definition Documents (PDDs).
• Collaborate with business analysts and stakeholders to understand business processes, data standards, guidelines, and automation requirements.

AI & Agentic Automation Development

• Develop enterprise-grade Agentic AI solutions using LLMs, CrewAI, UiPath Agent Builder, Python, and REST APIs.
• Build AI-powered assistants, conversational AI applications, and intelligent document processing solutions.
• Design, develop, and deploy intelligent automation solutions using Microsoft Power Automate and UiPath.
• Integrate automation solutions with enterprise applications, APIs, databases, and third-party platforms.
• Utilize AI-assisted development tools such as Claude, Cursor, and GitHub Copilot to improve development efficiency, testing, and code quality.

Integration & Platform Engineering

• Implement secure API integrations, including OAuth authentication and data exchange using JSON and XML.
• Configure and manage AWS environments to support Agentic AI platforms and application development.
• Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or AWS CDK.
• Work with relational databases such as ...