At a Glance
- Tasks: Design secure AI solutions and mitigate risks in innovative environments.
- Company: Join a leading tech firm focused on advanced AI capabilities.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on cutting-edge technology.
- Why this job: Tackle exciting AI security challenges and make a real impact.
- Qualifications: Experience with AWS Bedrock and Agentic AI frameworks required.
The predicted salary is between 36000 - 60000 € per year.
We are looking for an experienced AI / ML Engineer to join a high-profile programme focused on advancing secure Agentic AI capabilities within enterprise environments. This role requires someone with strong hands-on engineering experience across Agentic AI frameworks, A2A (Agent-to-Agent) protocols, and AWS Bedrock, with a particular focus on designing secure technical solutions for emerging AI threat landscapes.
Key Requirements
- Strong hands-on experience with AWS Bedrock
- Proven experience working with Agentic AI frameworks and A2A protocols
- Deep understanding of LLM security, model security, and identity security within agentic environments
- Ability to design and implement technical controls to reduce risk across AI systems
Key Responsibilities
- Develop technical solutions to mitigate risks associated with model security, agentic AI security, and identity security across A2A ecosystems
- Design protections against model-targeting attacks, including indirect prompt injection
- Implement engineering controls to prevent and detect AI security vulnerabilities
- Assess and leverage relevant third-party security tooling to strengthen AI model protection
Data Security Focus
- Design and implement technical solutions for data protection within agentic AI environments
- Apply DLP (Data Loss Prevention) principles across AI workflows
- Build solutions for sensitive data redaction before and after model interaction
- Implement pre-model and post-model processing techniques for secure data handling
- Evaluate approaches both with and without third-party software
This is an excellent opportunity to work on cutting-edge AI security challenges in a highly innovative environment. If you are interested please apply or send your CV to luke.sandilands@cpl.com.
AI / ML Engineer employer: Cpl Life Sciences
Join a forward-thinking company that prioritises innovation and security in the rapidly evolving field of AI. As an AI / ML Engineer, you will be part of a collaborative culture that values continuous learning and professional growth, with access to cutting-edge technologies and resources. Located in a vibrant tech hub, this role offers unique opportunities to tackle significant challenges while contributing to the development of secure AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI / ML Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Agentic AI and AWS Bedrock. We want to see your hands-on experience, so make sure it’s easy for potential employers to find your work.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of LLM security and A2A protocols. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI / ML Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience with AWS Bedrock and Agentic AI frameworks. We want to see how your skills align with the job requirements, 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 security and how your background makes you a perfect fit for our team. Let us know what excites you about tackling AI threats!
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've designed technical solutions to mitigate risks in AI systems. We love seeing how you approach challenges, especially in the context of model security and identity protection.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Cpl Life Sciences
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS Bedrock and Agentic AI frameworks. Brush up on A2A protocols and be ready to discuss how you've applied these technologies in real-world scenarios. The more specific examples you can provide, the better!
✨Showcase Your Security Savvy
Since this role focuses heavily on security, prepare to talk about your experience with LLM security, model security, and identity security. Think of concrete instances where you designed solutions to mitigate risks and be ready to explain your thought process.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice explaining how you would design protections against model-targeting attacks or implement engineering controls. Use a structured approach to demonstrate your problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI security and their current projects. This shows your genuine interest and helps you gauge if the role is the right fit for you.
