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- Tasks: Create intelligent agents and automate workflows using AWS tools.
- Company: Leading tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for skill development.
- Why this job: Join a team shaping the future of AI with real-world impact.
- Qualifications: Strong Python skills and experience with AWS automation tools.
- Other info: Exciting role in a vibrant tech hub with great career prospects.
The predicted salary is between 60000 - 80000 £ per year.
A prominent technology company seeks AWS AI Engineers with expertise in AWS cloud services and automation. You will develop intelligent agents, build automation workflows using AWS-native tools, and write modular Python code for integrations.
Key responsibilities include:
- Implementing GenAI automation patterns
- Building dashboards
- Processing documents
Ideal candidates should possess:
- Good automation experience
- Advanced Python skills
- Familiarity with various AWS tools, including AWS Bedrock
This role is based in the Greater London area.
AWS AI Engineer: Autonomous Agent & GenAI Automation in London employer: Cognizant
Contact Detail:
Cognizant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS AI Engineer: Autonomous Agent & GenAI Automation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with AWS and AI. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS tools and Python. This is your chance to demonstrate your expertise in automation and GenAI patterns.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and AWS knowledge. Practice coding challenges and be ready to discuss your past projects and how you've implemented automation workflows.
✨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 AWS AI Engineer: Autonomous Agent & GenAI Automation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS cloud services and automation. We want to see how your skills align with the role, so don’t be shy about showcasing your advanced Python abilities and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and automation. We love seeing candidates who can articulate their interest in developing intelligent agents and using AWS-native tools.
Showcase Your Projects: If you've worked on any projects involving GenAI automation or building dashboards, make sure to mention them. We appreciate candidates who can demonstrate their hands-on experience and problem-solving skills through real-world examples.
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’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Cognizant
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS cloud services, especially the tools mentioned in the job description like AWS Bedrock. Familiarise yourself with how these tools can be used for automation and intelligent agent development, as this will likely come up during the interview.
✨Show Off Your Python Skills
Prepare to discuss your experience with Python, particularly in writing modular code. Have examples ready that showcase your coding abilities and how you've used Python in previous projects, especially in relation to automation workflows.
✨Demonstrate Your Automation Experience
Be ready to talk about specific automation projects you've worked on. Highlight the challenges you faced, the solutions you implemented, and the impact of your work. This will show your practical experience and problem-solving skills.
✨Prepare Questions About GenAI Automation
Since the role involves implementing GenAI automation patterns, think of insightful questions to ask about their current projects or future plans in this area. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.