Graduate AI Integration Engineer – Employee Experience in Reading

Overview

WELCOME TO SITA

We\’re the team that keeps airports moving, airlines flying smoothly, and borders open. Our tech and communication innovations are the secret behind the success of the world\’s air travel industry.

You\’ll find us at 95% of international hubs. We partner closely with over 2,500 transportation and government clients, each with their own unique needs and challenges. Our goal is to find fresh solutions and cutting-edge tech to make their operations run like clockwork. Want to be a part of something big?

Are you ready to love your job? The adventure begins right here, with you, at SITA.

PURPOSE

Join the team that designs and delivers AI-powered agents and applications to transform how employees interact with SITA systems. As a Graduate AI Integration Engineer, youll learn to integrate Copilot Studio, large language models (LLMs), and automation into enterprise workflows, working alongside senior engineers and product owners in an agile environment.

Early career talent is our future, and we\’re thrilled to have you join impactful missions alongside our experts, nurturing your growth with valuable experiences. We can\’t wait to witness the incredible things you\’ll achieve with us!

Empowered People, Reinventing Travel

KEY RESPONSIBILITIES

You will have the opportunity to work on some, or all, of the following :

Develop and integrate AI agents using Copilot Studio and related frameworks for employee-facing apps.

Assist with prompt engineering and model tuning for enterprise use cases (HR queries, IT support, knowledge retrieval).

Build connectors and pipelines to integrate AI services with existing platforms (Microsoft 365, ServiceNow, HRIS).

Support testing and deployment of AI features, ensuring security, compliance, and performance standards.

Collaborate with UX and product teams to design intuitive experiences powered by AI.

Qualifications

EXPERIENCE

• Must have a degree or working towards a degree at Hons level in (BSc / MSc) in Computer Science, AI / ML, Data Engineering, or related field.
• Familiarity with Copilot Studio, Python, REST APIs, and cloud platforms (Azure preferred); exposure to AI / ML libraries (Transformers, LangChain) is a plus. Must obtain your degree by September 2025.
• Strong problem-solving mindset, eagerness to learn, and ability to communicate technical concepts clearly.
• Strong problem-solving mindset, eagerness to learn, and ability to communicate technical concepts clearly.
• Comfortable working in agile teams and documenting solutions
• Must have less than 12 months post graduate experience, excluding undergraduate placement / internship experience.
• Must be eligible to work in the United Kingdom without the need for a work permit / sponsorship.

WHAT YOU WILL GAIN

WHAT WE OFFER

We\’re all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We\’re really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it\’s like to join our team and take a step closer to your best life ever.

Flex Week : Work from home up to 2 days / week (depending on your team\’s needs)

Flex Day : Make your workday suit your life and plans.

Flex-Location : Take up to 30 days a year to work from any location in the world.

Employee Wellbeing : We have got you covered with our Employee Assistance Program (EAP), for you and your dependents 24 / 7, 365 days / year. We also offer Champion Health – a personalized platform that supports a range of wellbeing needs.

Professional Development : Level up your skills with our training platforms, including LinkedIn Learning!

Competitive Benefits : Competitive benefits that make sense with both your local market and employment status.

SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and / or persons with disabilities to apply and self-identify in the application process.