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.

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 SQL Server and PostgreSQL for data management and integration.

Testing,



Monitoring & Continuous Improvement

- Develop evaluation frameworks, test strategies, and validation processes for AI and automation solutions.

- Monitor production AI systems for performance, reliability, quality, and compliance.

- Analyze incidents, identify root causes, and implement continuous improvements through prompt engineering, model optimization, and workflow enhancements.

- Support CI/CD implementation and DevOps best practices throughout the development lifecycle.

Required Skills & Experience

Technical Skills

- Strong experience in:

- Python

- JavaScript

- SQL

- REST APIs

- Hands-on experience with:

- UiPath and/or Microsoft Power Automate

- Excel Macros and VBA

- Outlook Automation

- Database integration

- Strong understanding of:

- OCR technologies

- API integration and mapping

- Prompt engineering

- Tool calling and structured outputs

- AI memory concepts and agent orchestration

- Experience with:

- Git, Bitbucket, and DevOps practices

- CI/CD pipelines

- OAuth authentication

- JSON/XML data formats

- Relational databases (SQL Server, PostgreSQL)

Cloud & Infrastructure

- Experience provisioning and managing AWS environments.

- Knowledge of Infrastructure as Code (Terraform, AWS CloudFormation, AWS CDK).

- Understanding of scalable, secure, and production-ready cloud architectures.

Nice-to-Have Skills

- Experience with Microsoft Copilot Studio.

- Knowledge of Model Context Protocol (MCP) and agent interoperability.

- Experience with AI frameworks such as:

- LangChain

- LangGraph

- AutoGen

- Semantic Kernel

- CrewAI





- Experience with vector databases and AI search platforms such as:

- Pinecone

- Azure AI Search

- Weaviate

- Experience building multi-agent or Agentic AI systems in enterprise environments.

Education

- Bachelor's Degree in Computer Science, Engineering, Information Technology, or a related field.

Soft Skills

- Robust analytical and problem-solving capabilities.

- Excellent communication and technical documentation skills.

- Ability to collaborate effectively with business and technology stakeholders.

- Strong organizational and project management skills.

- Ability to thrive in Agile/Scrum and fast-paced delivery environments.

- Proactive mindset with a passion for innovation, AI, and automation.

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing [email protected].

Job: Engineering

Job Family: TECHNOLOGY

Organization: OCTO

Schedule: FULL_TIME

Workplace Type: Hybrid

Req ID: 24881

📌 Software Engineer II - AI & Agentic Automation (India)
🏢 Pearson
📍 India