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,

📌 Software Engineer II (Bengaluru)
🏢 Pearson
📍 Bengaluru