Technical Graduate - Applied AI Engineering & Deployment 2027

At CGI, we empower the next generation of innovators to shape the future of technology and security. As part of #GenerationCGI, you’ll join a community of graduates who are turning ambition into action and possibility into progress.

As an Applied AI Engineering & Deployment Technical Graduate, you’ll help develop artificial intelligence solutions and put them to work in real client environments. Depending on your role, you could focus on engineering AI and machine-learning solutions or work directly with clients to adapt, integrate and deploy those solutions around their needs.

You’ll be trusted with responsibility from the start, combining software engineering, data and AI skills with collaboration and clear communication. You’ll contribute to practical AI solutions that address complex challenges and create meaningful outcomes for CGI’s clients.

Profil recherché

In this role, you’ll help take AI solutions from initial ideas through to practical implementation. You’ll work with technical specialists, client teams and other stakeholders to build, test, deploy and improve solutions that use data, machine learning and generative AI.

You may:

• Develop AI solutions: Design and build applications or services using artificial intelligence, machine learning and generative AI technologies.



• Deploy technology with clients: Work with client teams to understand their needs and adapt, integrate and implement AI solutions within real operating environments.



• Engineer supporting software: Develop reliable code, APIs and technical components that allow AI capabilities to work within wider systems.



• Work with data: Prepare, model and analyse data, working with databases and data pipelines to support effective AI solutions.



• Evaluate and improve performance: Test AI outputs, investigate issues and help improve the accuracy, reliability and usefulness of solutions.



• Communicate insight: Use clear explanations, demonstrations and data visualisations to help technical and non-technical stakeholders understand proposed solutions.



• Apply AI responsibly: Consider security, privacy, fairness and responsible use throughout the design and deployment of AI technology.



• Innovate alongside other graduates: Take part in early careers initiatives that go beyond your day-to-day role.

Every contribution you make will help deliver outcomes with lasting impact.



Locations

Opportunities are available in London and Reading.

As CGI is a consultancy, you may be required to work from a CGI office or client site and occasionally travel to different locations. Flexibility and a willingness to travel are therefore important.



Why Join Us?

At CGI, you’ll be part of a culture that celebrates diversity, inclusion and collaboration, where your perspective is valued and your ideas contribute to meaningful outcomes.

Your journey starts with a structured Early Careers Induction Programme, giving you the foundations to succeed, along with 24/7 e-learning and opportunities to gain professional certifications that build your expertise. You’ll also join our Student Kick-start Initiative, where you’ll collaborate with other graduates on creative projects that deliver impact beyond your day-to-day role.

CGI is an unconditionally inclusive workplace where you are respected, your voice is heard and you can be yourself. We were recognised in the Sunday Times Best Places to Work List 2025 and named a UK ‘Best Employer’ by the Financial Times. We proudly hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant.



Benefits

Along with a competitive salary and a £1,000 joining bonus, you’ll enjoy benefits that support every stage of your journey. You’ll share in CGI’s success through our matched share scheme, have access to private healthcare, well-being programmes and professional training, and build financial security with a competitive pension. Beyond the day job, you’ll connect with others through graduate networks, diversity groups and social clubs that make your time at CGI both rewarding and enjoyable.

Required qualifications to be successful in this role

We’re seeking technically curious graduates who are excited by the potential of AI and motivated to turn emerging technology into practical solutions. You’ll combine analytical thinking and software skills with the communication and collaboration needed to work effectively with clients and multidisciplinary teams.



You should have:

• A minimum 2:2 degree in computer science, mathematics, statistics or another relevant technical subject (some roles may require a 2:1).



• A strong interest in artificial intelligence, machine learning and generative AI.



• Experience of software development or programming through your studies, personal projects or work experience.



• Strong analytical thinking and a practical approach to solving problems.



• Clear written and verbal communication skills, including the ability to explain technical ideas to different audiences.



• The ability to collaborate effectively, manage your time and take responsibility for delivering high-quality work.



• A willingness to learn new technologies and adapt solutions to different client environments.



• Flexibility to travel and work from CGI offices or client sites where required.



• Eligibility for Baseline Personnel Security Standard (BPSS) clearance, with some positions requiring higher National Security Vetting. This may include additional residency or nationality requirements, which will be explained for the relevant role.

Technical skills we value include:

• Artificial intelligence: An understanding of AI concepts and an interest in applying them to real-world problems.



• Machine learning: Exposure to developing, evaluating or applying machine-learning models.



• Generative AI: An interest in large language models, generative technologies or building AI-enabled applications.



• Software development: Experience with programming, software engineering principles, version control or application development.



• Data modelling and databases: Familiarity with data structures, database management, SQL or relational databases.



• Data science and analytics: Experience analysing data, developing predictive models or using statistical techniques.



• Data visualisation: The ability to communicate findings through clear visualisations, reports or demonstrations.