At a Glance
- Tasks: Integrate AI/ML models into enterprise systems and collaborate with tech teams.
- Company: Global leader in consulting and digital transformation, driving positive change.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a transformative programme with excellent career advancement opportunities.
- Why this job: Join a dedicated AI team and shape the future of technology in a dynamic environment.
- Qualifications: Experience in AI/ML integration and strong collaboration skills required.
The predicted salary is between 60000 - 80000 € per year.
We are working with a client who is a global leader in consulting, technology services, and digital transformation, committed to delivering positive change through technology and human collaboration. They are supporting a major critical national infrastructure transformation programme which is establishing a new dedicated AI team. The programme aims to accelerate the adoption of advanced AI capabilities, including: Agentic AI frameworks, Large Language Models (LLMs), and AI-driven enhancements to existing enterprise systems.
These three new contracts will play a key part in integrating AI into production environments, ensuring safe, scalable, and governed deployment across the Software Delivery Life Cycle. The successful candidate will support the integration of AI/ML models into enterprise systems, working closely with architects, engineers, and data teams.
This programme is focused on:
- Scaling AI capability across a complex enterprise landscape.
- Transitioning from proof-of-concept to production AI systems.
- Embedding AI into existing SDLC and operational workflows.
- Establishing governance for safe and controlled AI adoption.
You will support architects and lead engineers in integrating AI/ML models (including LLMs and agentic components) into enterprise systems. Prepare and manage model inputs/outputs, validation processes, and interaction patterns. Collaborate with data engineers to ensure data pipelines meet model requirements.
AWS AI Application Developer x3 in London employer: Hays
As a global leader in consulting and technology services, this company offers an exceptional work environment that fosters innovation and collaboration. Employees benefit from a strong focus on professional development, with opportunities to work on cutting-edge AI projects that are transforming national infrastructure. The inclusive culture encourages teamwork and creativity, making it an ideal place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AWS AI Application Developer x3 in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving LLMs or agentic AI frameworks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI integration and enterprise systems. Practice explaining complex concepts in simple terms – it shows you understand your stuff and can communicate effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities that align perfectly with your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AWS AI Application Developer x3 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AWS AI Application Developer role. Highlight your experience with AI/ML models and any relevant projects you've worked on. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to the team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention specific tools, frameworks, or languages you’ve used that are relevant to the role. We’re looking for candidates who can hit the ground running!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Let’s get your application in!
How to prepare for a job interview at Hays
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI frameworks, especially Agentic AI and Large Language Models. Be ready to discuss how you've integrated AI/ML models in past projects and the challenges you faced. This shows you're not just familiar with the theory but have practical experience too.
✨Understand the SDLC
Since this role involves embedding AI into existing Software Delivery Life Cycles, it’s crucial to understand how the SDLC works. Be prepared to talk about how you’ve navigated the SDLC in previous roles and how you can ensure safe and scalable AI deployment within that framework.
✨Collaboration is Key
This position requires working closely with architects, engineers, and data teams. Think of examples where you successfully collaborated with cross-functional teams. Highlight your communication skills and how you’ve contributed to a team environment to achieve common goals.
✨Prepare for Technical Questions
Expect technical questions related to model inputs/outputs and validation processes. Brush up on your technical skills and be ready to explain your thought process when managing these aspects. Practising coding problems or discussing past experiences can help you feel more confident.
