Log In
Sign Up
Role Title: Apprentice – AgentOps Engineering
Tier: IC10
Department/Division: OCTO
Location: – On-site
Employment Type: Full-time Apprenticeship
Stipend: ₹30,000 per month
Duration: 12 months
Target Start Date: 1-Apr-2026
Number of Roles: 2
About Pearson
Pearson is the world’s leading learning company, dedicated to helping people make progress in their lives through learning. Founded in 1844, we deliver digital-first, accessible learning experiences and employ over 20,000 people globally. In India, we support learners and educators through innovative educational products, technology, and services. We are committed to fostering an inclusive, equitable workplace where every employee is valued and empowered to thrive.
About the Apprenticeship Program
Pearson India’s Apprenticeship Program provides graduates and early-career professionals with structured training, hands-on experience, and mentorship from industry experts. Through a blend of on-the-job learning and guided development, apprentices build the professional and technical skills needed to succeed in a global organization.
About the Team
AgentOps is a strategic enterprise capability focused on building, operating, and governing AI agents as first-class production systems across Pearson. The team enables a symbiotic workforce where employees and AI agents work together to accelerate outcomes, improve quality, and deliver measurable business value while maintaining high standards of trust, governance, and compliance.AgentOps operates across multiple integrated streams including Agentic Automations, Agentic Applications, and Agentic Engineering. The team delivers production-grade agentic solutions that modernize critical business workflows such as document processing, decision tracking, content quality assurance, and executive operations.
About the Role
As an AgentOps Engineering Apprentice, you will work closely with experienced engineers, product leaders, and AI practitioners to design, build, test, and operate enterprise-grade AI agents and agentic applications. This role is designed for recent graduates who are eager to gain hands-on experience with modern software engineering, cloud platforms, and emerging agentic AI technologies.
The apprenticeship is learning-focused and hands-on. Apprentices contribute to real production initiatives while developing strong foundations in software engineering best practices, system reliability, and responsible AI.
Key Responsibilities
- Assist in building and enhancing agentic applications and intelligent automations that support real business workflows across Pearson.
- Work with senior engineers to develop reusable AI agents using approved frameworks and the AgentOps orchestration platform.
- Participate in solution design discussions, intake reviews, and engineering reviews to understand how enterprise AI solutions are designed and governed.
- Support implementation of observability, logging, testing, and evaluation mechanisms to ensure agent quality, reliability, and safe behavior.
- Contribute to documentation, testing, and continuous improvement of agentic solutions.
- Learn and adhere to AI policy, security, privacy, and compliance guardrails while working on production systems.
Required Qualifications
- Final-year engineering student or recent graduate with a Bachelor’s degree in Computer Science, Engineering,.
- Strong knowledge in Python and any of the Agentic Frameworks
- Solid understanding of data structures, algorithms, and basic software engineering concepts.
- Strong problem-solving skills and a willingness to learn new technologies.
- Exposure to AI/ML concepts, large language models
- Interest in Agents,AI, automation, and modern cloud-based systems.
Preferred / Nice-to-Have Skills
- Understanding of APIs, microservices, or cloud platforms.
- Familiarity with Git, CI/CD pipelines, agile development practices.
- Interest in responsible AI, platform engineering, or system reliability.
Eligibility Criteria
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
- Recent graduates or candidates with less than one year of experience are encouraged to apply.
- Must meet requirements under the Apprenticeship Act, 1961 and be registered on the NATS portal.
- Must be legally eligible to work in India.
Experience You Will Gain
- Hands-on experience building and operating enterprise AI agents.
- Exposure to production-grade AI systems, governance, and observability practices.
- Structured mentorship from senior engineers operating in a player-coach model.
- Opportunities for continuous learning, upskilling, and certification aligned with AgentOps engineering standards.
Location
This role is based at the Pearson office at – Bangalore
Diversity, Equity, and Inclusion
Pearson India is committed to building an inclusive environment that embraces diverse perspectives and backgrounds. We value equality, respect, and belonging, ensuring every employee has the opportunity to contribute and grow.
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 TalentExperienceGlobalTeam@grp.pearson.com.
Job: Engineering
Job Family: TECHNOLOGY
Organization: Corporate Strategy & Technology
Schedule: FULL_TIME
Workplace Type: Hybrid
Req ID: 23305
Req Type: Student