At a Glance
- Tasks: Integrate AI/ML models into enterprise systems and support innovative AI projects.
- Company: Global leader in consulting and technology services focused on digital transformation.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Work remotely with occasional visits to client sites in London and Hampshire.
- Why this job: Join a dedicated AI team and make a real impact on cutting-edge technology.
- Qualifications: Experience in AWS cloud environments and AI/ML integration is essential.
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 (quality, lineage, reliability). Execute structured model testing, performance evaluation, and safety/bias checks. Support prompt governance, including documentation of Prompt structures, Versioning, Constraints and evaluation criteria. Assist in managing AI-related risks, including Hallucination handling, Error recovery, High-risk decision boundaries.
To be considered for these contracts you must be able to demonstrate strong experience in AWS cloud environments with a background in application development within cloud migration programmes. You should have exposure to AI/ML integration within enterprise systems. Experience implementing ML monitoring frameworks (drift detection, model health, quality metrics). Exposure to DevOps integration of model artefacts into deployment pipelines. Ability to document model lifecycle, dependencies, and SDLC traceability. Understanding of AI governance and operational controls. Ability to translate AI outputs and constraints clearly to business stakeholders.
Please be clear that only candidates that meet the above criteria with the right to work, and that have been resident in the UK for the last 5 years or longer will be considered. No sponsorship is available. This role will allow for remote working here in the UK, but you must be able to attend key client sites in London and the Hampshire area when needed.
AWS AI Application Developer x3 employer: Hays
Join a global leader in consulting and technology services, where innovation meets collaboration. As part of a dedicated AI team, you'll have the opportunity to work on transformative projects that shape the future of national infrastructure, all while enjoying a supportive work culture that prioritises employee growth and development. With flexible remote working options and the chance to engage with cutting-edge AI technologies, this role offers a unique blend of meaningful work and professional advancement in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land AWS AI Application Developer x3
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with AI and AWS. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML integration and AWS. This is your chance to demonstrate what you can do beyond just a CV. Make it easy for potential employers to see your expertise in action.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and AWS. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies. Mock interviews can really help you nail this!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace AWS AI Application Developer x3
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with AWS cloud environments and AI/ML integration. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
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 your background makes you a perfect fit for this role. We love seeing enthusiasm and a clear understanding of the position.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them in your application. We’re interested in seeing how you’ve integrated AI/ML models into enterprise systems and any challenges you overcame along the way.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Hays
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML integration, especially in AWS environments. Be ready to discuss specific projects where you've implemented AI capabilities and how you tackled challenges like model validation and performance evaluation.
✨Showcase Your Collaboration Skills
This role involves working closely with architects, engineers, and data teams. Prepare examples of how you've successfully collaborated in the past, particularly in integrating AI into existing systems. Highlight your ability to communicate complex AI concepts to non-technical stakeholders.
✨Demonstrate Your DevOps Knowledge
Familiarise yourself with DevOps practices related to AI/ML deployment. Be prepared to discuss how you've integrated model artefacts into deployment pipelines and any experience you have with ML monitoring frameworks. This will show that you understand the full Software Delivery Life Cycle.
✨Prepare for Governance Questions
Since governance is a key focus for this role, think about how you've managed AI-related risks in previous projects. Be ready to talk about your approach to documentation, versioning, and ensuring safe AI adoption. This will demonstrate your understanding of operational controls in AI.
