Pearson Hiring Freshers 2026 | Apprentice Software Engineer AI Jobs Apply Now

Pearson Hiring Freshers | Apprentice Software Engineer

Introduction

Looking for high paying software engineer apprenticeship jobs, AI engineer roles, and enterprise tech careers? Pearson is hiring freshers for the Apprentice Software Engineer role under its AgentOps Engineering team. This is an excellent opportunity for candidates searching for AI jobs, cloud computing careers, backend developer jobs, Python developer roles, enterprise software engineering opportunities, and AI automation careers.

Pearson is one of the world’s leading learning and education technology companies known for digital innovation, cloud-based learning systems, and enterprise AI transformation initiatives. Fresh graduates passionate about software engineering, AI automation, cloud platforms, DevOps, and enterprise SaaS technologies can apply for this latest apprenticeship opportunity.

Candidates joining Pearson will gain practical exposure to enterprise-grade AI systems, agentic AI technologies, cloud engineering, automation platforms, observability systems, and production-level software engineering practices. This apprenticeship opportunity is ideal for candidates looking to build long-term careers in AI engineering, enterprise software development, cloud computing, automation engineering, and modern SaaS platforms.

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Pearson Hiring Freshers – Apprentice Software Engineer

Job Description

Pearson is hiring freshers for the Apprentice Software Engineer role under its AgentOps Engineering team. Selected candidates will work closely with experienced software engineers, AI practitioners, and product leaders to design, develop, test, and operate enterprise-grade AI agents and intelligent automation systems.

The apprenticeship focuses on modern software engineering practices, cloud-native systems, AI automation platforms, and enterprise SaaS applications. Apprentices will contribute to real production projects while learning software development best practices, system reliability engineering, observability practices, and responsible AI governance.

Candidates joining Pearson will gain hands-on exposure to AI agent orchestration platforms, cloud computing systems, enterprise automation frameworks, DevOps workflows, APIs, microservices, and modern AI-powered business applications. This opportunity is ideal for candidates interested in AI engineer jobs, enterprise cloud solutions, automation engineering careers, and remote software jobs.

About AgentOps Engineering Team

AgentOps is a strategic enterprise capability at Pearson focused on building, operating, and governing AI agents as production-ready systems across the organization. The team works on enterprise AI applications that help improve productivity, automate workflows, enhance content quality, and deliver measurable business value.

The AgentOps team operates across multiple enterprise technology streams including Agentic Automations, Agentic Applications, and Agentic Engineering. The team develops AI-powered solutions for document processing, decision tracking, quality assurance systems, executive operations, and enterprise workflow automation.

Roles & Responsibilities

• Assist in building and improving intelligent automation systems and AI applications.
• Work with senior engineers to develop reusable AI agents using enterprise frameworks.
• Participate in solution design discussions and engineering reviews.
• Support observability, logging, testing, and evaluation mechanisms for AI systems.
• Contribute to documentation, testing, and continuous improvement initiatives.
• Learn and follow AI policy, privacy, compliance, and security standards.
• Support enterprise workflow automation projects.
• Assist in maintaining production-grade AI system reliability.
• Work on cloud-based software engineering and automation systems.
• Collaborate with cross-functional engineering and product teams.
• Participate in software testing and deployment activities.
• Support modern AI and enterprise SaaS engineering projects.

Eligibility Criteria

• Final-year engineering students or recent graduates are eligible to apply.
• Candidates should possess a Bachelor’s degree in Computer Science, Information Technology, Engineering, or related fields.
• Candidates with less than one year of experience are encouraged to apply.
• Applicants must meet requirements under the Apprenticeship Act, 1961.
• Candidates must be registered on the NATS portal.
• Applicants must be legally eligible to work in India.
• Strong problem-solving and analytical skills are required.
• Interest in AI, cloud systems, and automation technologies is preferred.

Required Skills

• Strong knowledge of Python programming.
• Understanding of Agentic Frameworks and AI technologies.
• Knowledge of data structures and algorithms.
• Understanding of software engineering fundamentals.
• Exposure to AI/ML concepts and large language models.
• Interest in Agents, AI, automation, and cloud systems.
• Understanding of APIs and microservices is preferred.
• Knowledge of Git, CI/CD pipelines, and agile development practices.
• Interest in responsible AI and system reliability engineering.
• Good communication and teamwork skills.

Experience You Will Gain

• Hands-on experience building enterprise AI agents.
• Exposure to production-grade AI systems and governance frameworks.
• Structured mentorship from senior engineering professionals.
• Learning opportunities in cloud engineering and AI automation.
• Experience with enterprise observability and system reliability practices.
• Professional development aligned with AgentOps engineering standards.
• Exposure to enterprise SaaS and cloud-native platforms.
• Practical experience with AI-powered workflow automation systems.

Benefits

• Monthly stipend of ₹30,000.
• Hands-on exposure to enterprise AI and cloud systems.
• Opportunity to work on modern AI automation platforms.
• Professional mentorship from experienced software engineers.
• Career growth opportunities in enterprise software engineering.
• Exposure to cloud-native development and DevOps practices.
• Learning opportunities in AI governance and system reliability.
• Collaborative and innovation-focused work environment.

Salary Insights

The average salary for AI engineers, cloud software developers, and enterprise automation professionals in 2026 is expected to remain highly competitive across the global technology industry. Freshers entering enterprise AI engineering, cloud computing, DevOps, SaaS engineering, and AI automation roles can expect strong salary growth opportunities based on technical expertise and cloud certifications.

Entry-level salaries for AI software engineers, Python developers, automation engineers, backend developers, cloud engineers, and enterprise SaaS professionals typically range from industry-standard fresher compensation to premium salary packages in high-demand AI and cloud technology sectors. Candidates with strong skills in AI frameworks, cloud systems, Python programming, DevOps, and automation technologies may achieve faster career growth and higher earning potential.

Company Reviews

Pearson is widely recognized for its inclusive work culture, employee learning opportunities, and strong focus on digital innovation and education technology. Employees often appreciate the collaborative environment, supportive mentorship programs, technical exposure, and opportunities to work on enterprise AI systems and cloud-based applications.

Freshers joining Pearson can gain valuable experience in enterprise software engineering, AI automation, cloud computing, DevOps, and SaaS platform development. The company provides structured training programs, continuous learning opportunities, and exposure to modern AI-driven technologies. Pearson is considered one of the best organizations for fresh graduates looking to build careers in enterprise technology and AI-powered software engineering.

Why Apply for Pearson Apprentice Software Engineer Jobs?

Pearson provides excellent opportunities for fresh graduates to begin careers in AI engineering, cloud computing, software development, and enterprise automation technologies. Candidates joining Pearson gain practical exposure to enterprise AI systems, cloud-native platforms, and production-grade software engineering environments.

This role is ideal for candidates searching for AI engineer jobs, cloud software jobs, enterprise tech roles, Python developer careers, SaaS engineering opportunities, AWS jobs, DevOps jobs, and remote software jobs. Freshers can strengthen technical expertise, AI engineering knowledge, software development skills, and enterprise cloud experience while working on innovative business applications.

Selection Process

• Online Application Submission
• Resume Screening
• Technical Assessment
• Technical Interview
• HR Interview
• Final Selection and Apprenticeship Offer

Important Information

• The apprenticeship duration is 12 months.
• Candidates must be registered on the NATS portal.
• Fresh graduates and candidates with less than one year of experience can apply.
• Strong Python and AI knowledge improves selection chances.
• Candidates should prepare an updated resume before applying.
• Only eligible candidates should apply.

Frequently Asked Questions (FAQs)

1. What is the role offered by Pearson for freshers?

Pearson is hiring freshers for the Apprentice Software Engineer role under the AgentOps Engineering team where candidates will work on enterprise AI systems, automation platforms, and cloud-native applications.

2. What stipend is offered for the Pearson apprenticeship?

Selected candidates will receive a stipend of ₹30,000 per month during the 12-month apprenticeship program.

3. What qualifications are required for Pearson Apprentice Software Engineer jobs?

Candidates should possess a Bachelor’s degree in Computer Science, Information Technology, Engineering, or related fields.

4. What technical skills are preferred for this role?

Candidates should have strong Python programming knowledge, understanding of AI/ML concepts, APIs, cloud systems, DevOps practices, and software engineering fundamentals.

5. Can freshers apply for this apprenticeship opportunity?

Yes, final-year engineering students, recent graduates, and candidates with less than one year of experience are eligible to apply.

6. Is Pearson a good company for AI and software engineering careers?

Yes, Pearson offers strong learning opportunities, AI engineering exposure, cloud technology projects, enterprise software experience, and excellent career growth opportunities for freshers.

Conclusion

Pearson Apprentice Software Engineer jobs for freshers provide an outstanding opportunity to begin a successful career in AI engineering, cloud computing, enterprise software development, and automation technologies. Candidates interested in enterprise tech roles, AI automation careers, SaaS engineering, and cloud-native software development should apply as soon as possible.

This apprenticeship offers practical industry exposure, mentorship from experienced engineers, hands-on experience with enterprise AI systems, and opportunities to work on modern cloud and automation platforms. Prepare your resume, strengthen your Python and AI skills, and start your software engineering career journey with Pearson.