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- Tasks: Evaluate AI risks and design structured tests for safety and performance.
- Company: Join a leading tech firm focused on AI safety and innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a dynamic environment.
- Why this job: Make a difference in AI safety while gaining hands-on coding experience.
- Qualifications: Familiarity with Python and a passion for AI technology.
The predicted salary is between 30000 - 40000 £ per year.
Please note that this role is subject to UK Security Check (SC) clearance. Applicants must be eligible to undergo and obtain SC clearance and have the right to work in the UK. Because vetting depends on individual circumstances, including background and residency history, we encourage applicants to review their likely eligibility before applying.
Skills: You will actively participate in this process, learning how to map real-world business risks to frameworks like NIST and MITRE ATLAS, whilst gaining hands-on experience deploying your code into cloud environments.
Responsibilities:
- Understand Risks: Evaluating AI use cases and identifying potential risks.
- Test Design: Defining test cases and requirements for statistically sound, structured testing of AI systems.
- Test Implementation: Write clean, well-documented Python code to execute performance, safety and security tests on AI models.
Evaluation
Junior Solutions Architect (AI Assurance Engineer) employer: Advai
Contact Detail:
Advai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Solutions Architect (AI Assurance Engineer)
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and tech space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of frameworks like NIST and MITRE ATLAS. We recommend practising common interview questions related to AI safety and risk evaluation to show you’re ready for the role.
✨Tip Number 3
Showcase your coding skills! Create a GitHub repository with examples of your Python code, especially any projects related to AI testing or risk assessment. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Junior Solutions Architect (AI Assurance Engineer)
Some tips for your application 🫡
Know Your Stuff: Before you start writing, make sure you understand the role and its requirements. Familiarise yourself with AI safety and risk evaluation frameworks like NIST and MITRE ATLAS. This will help you tailor your application to show us you’re the right fit!
Show Off Your Skills: When detailing your experience, focus on your coding skills, especially in Python. Highlight any projects where you've implemented tests or worked with AI systems. We want to see how you can contribute to our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points for your skills and experiences to make it easy for us to read. Remember, clarity is key when you're discussing complex topics like AI testing.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you don’t miss out on any important updates about your application status!
How to prepare for a job interview at Advai
✨Know Your AI Risks
Make sure you understand the potential risks associated with AI use cases. Brush up on frameworks like NIST and MITRE ATLAS, as being able to discuss these in detail will show your knowledge and readiness for the role.
✨Showcase Your Coding Skills
Be prepared to talk about your experience with Python, especially in writing clean and well-documented code. You might even be asked to solve a coding challenge, so practice writing test cases and implementing tests for AI systems beforehand.
✨Understand the Testing Process
Familiarise yourself with the process of defining test cases and requirements for AI systems. Be ready to discuss how you would approach structured testing and what methodologies you would use to ensure statistically sound results.
✨Prepare for Security Clearance Questions
Since this role requires UK Security Check clearance, be ready to answer questions about your background and residency history. It’s a good idea to review the eligibility criteria beforehand so you can confidently address any concerns.