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- Tasks: Lead technical direction for enterprise AI projects and create innovative integrations.
- Company: Cutting-edge AI lab focused on solving complex challenges.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI while tackling exciting and challenging problems.
- Qualifications: Strong engineering skills with Python or TypeScript and enterprise infrastructure experience.
- Other info: Join a dynamic team dedicated to innovation and excellence.
The predicted salary is between 36000 - 60000 £ per year.
An innovative AI lab is seeking a Delta Engineer to provide technical expertise on complex enterprise engagements. This role involves owning the technical direction for key customer accounts, translating customer pain points into product requirements, and building integrations using the company's APIs.
Candidates should have a strong engineering foundation, proficiency in Python or TypeScript, and experience with enterprise infrastructure. This position offers the opportunity to tackle hard problems and shape how the product evolves.
Enterprise AI Systems Architect employer: Cognition
Contact Detail:
Cognition Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI Systems Architect
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 projects, especially those involving Python or TypeScript. This will give you an edge and demonstrate your technical expertise to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to enterprise infrastructure. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Enterprise AI Systems Architect
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your engineering foundation and any experience you have with Python or TypeScript. We want to see how your skills can translate into solving complex problems for our customers.
Understand the Role: Take a good look at the job description and make sure you understand what we’re looking for. Tailor your application to show how you can own the technical direction and address customer pain points effectively.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on what makes you a great fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Cognition
✨Know Your Tech Inside Out
Make sure you brush up on your Python or TypeScript skills. Be ready to discuss how you've used these languages in past projects, especially in relation to enterprise infrastructure. We recommend preparing a couple of examples where you tackled complex problems using these technologies.
✨Understand the Customer's Pain Points
Before the interview, research common challenges faced by enterprises in AI integration. Think about how you can translate these pain points into product requirements. We suggest preparing a few scenarios where you've successfully identified and addressed customer needs in previous roles.
✨Showcase Your Problem-Solving Skills
This role is all about tackling hard problems, so be prepared to discuss specific challenges you've faced and how you overcame them. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to follow your thought process.
✨Familiarise Yourself with the Company's APIs
Since you'll be building integrations using the company's APIs, take some time to understand their functionality and potential use cases. We suggest reviewing any available documentation or resources to demonstrate your proactive approach and genuine interest in the role during the interview.
