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- Tasks: Design and engineer AI-powered systems using Large Language Models for real-world applications.
- Company: Join CGI, a top-rated employer known for innovation and inclusivity.
- Benefits: Competitive salary, private healthcare, pension scheme, and share options.
- Why this job: Make a real impact by developing cutting-edge AI solutions in a collaborative environment.
- Qualifications: Strong software engineering skills in Python, TypeScript or .NET; experience with LLM integration.
- Other info: Hybrid role with excellent career growth opportunities and a supportive community.
The predicted salary is between 60000 - 80000 £ per year.
At CGI, we are shaping the future of intelligent systems by transforming emerging AI capabilities into real-world solutions that deliver measurable value for our clients. As an Agentic AI Engineer, you will design and engineer autonomous, AI-powered systems that integrate Large Language Models into scalable, enterprise-grade architectures. Working alongside experienced architects, engineers and AI specialists, you will help organisations unlock the potential of agent-based technologies to solve complex challenges and drive innovation. This role offers the opportunity to build impactful AI solutions, contribute to evolving engineering practices and help define how agentic AI is delivered responsibly, securely and at scale across industries.
This is a hybrid position.
Your future duties and responsibilities include designing and building intelligent agent-based systems that harness the power of Large Language Models within robust, scalable software architectures. You will work closely with architects, engineers and AI specialists to translate complex business challenges into secure, production-ready AI solutions. Your work will focus on moving beyond experimentation to deliver reliable, maintainable and observable systems that create tangible value for clients.
You will take ownership of delivering high-quality engineering outcomes while contributing to the evolution of agentic AI practices across CGI. With the support of a collaborative community of experts, you will help shape innovative AI solutions that integrate seamlessly into enterprise environments and support responsible, scalable adoption of emerging technologies.
Required Qualifications To Be Successful In This Role
- Strong software engineering experience in Python, TypeScript or .NET
- Proven experience integrating Large Language Models into production systems
- Strong understanding of prompt orchestration, tool usage, and LLM interaction patterns
- Experience implementing state management, memory strategies and guardrails in AI systems
- Familiarity with observability, evaluation and performance optimisation for LLM solutions
- Experience using LLM APIs such as OpenAI, Azure OpenAI or similar
- Understanding of secure software development and enterprise architecture principles
- Experience deploying solutions to cloud platforms
- Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because you are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
Agentic AI Systems Engineer — Enterprise LLMs in Wideopen employer: CGI
Contact Detail:
CGI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Systems Engineer — Enterprise LLMs in Wideopen
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at CGI. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects with Large Language Models. This gives you a chance to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply—this is key when talking to both techies and non-techies.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Agentic AI Systems Engineer — Enterprise LLMs in Wideopen
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Agentic AI Systems Engineer role. Highlight your experience with Large Language Models and how it aligns with CGI's mission to deliver real-world AI solutions.
Showcase Your Skills: Don’t just list your skills—demonstrate them! Use specific examples from your past work that showcase your software engineering expertise, especially in Python, TypeScript, or .NET, and your experience with production-grade systems.
Be Clear and Concise: When writing your application, keep it clear and to the point. Avoid jargon where possible and make sure even non-technical readers can understand your contributions and achievements in AI and software development.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves and helps us get to know you better as a potential CGI Partner!
How to prepare for a job interview at CGI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, TypeScript, and .NET. Brush up on your experience with Large Language Models and be ready to discuss specific projects where you've integrated them into production systems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex challenges in previous roles. Think of examples where you’ve designed AI solutions that created tangible value for clients, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll need to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders, so think of ways to break down your experiences into relatable stories.
✨Emphasise Collaboration and Adaptability
Since this role involves working closely with architects and engineers, highlight your experience in collaborative, agile environments. Be prepared to discuss how you adapt to rapidly evolving technologies and contribute to a team-oriented culture.