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For Companies At a Glance
- Tasks: Create smart automation solutions using AWS tools and cutting-edge AI technologies.
- Company: Join a forward-thinking tech company leading in cloud innovation.
- Benefits: Attractive salary, flexible work options, and opportunities for skill development.
- Why this job: Be at the forefront of AI and cloud technology, making a real difference.
- Qualifications: Experience in AWS cloud services and automation is essential.
- Other info: Exciting projects with great potential for career advancement.
The predicted salary is between 60000 - 80000 £ per year.
AWS AI Engineers with strong expertise in AWS cloud services and AWS AI agent-based automation to deliver end‑to‑end automations using AWS-native tooling, low-code platforms, and full-code engineering across enterprise systems.
Key Responsibilities
- Develop autonomous agents using AWS Q, AgentCore, LangChain, LangGraph, CrewAI, or AutoGen for reasoning, orchestration, and tool-use.
- Build intelligent document processing workflows leveraging AWS Textract, Comprehend, and extraction pipelines.
- Implement GenAI automation patterns including RAG, summarisation, classification, and routing using AWS Bedrock.
- Build monitoring and automation insight dashboards using AWS QuickSight.
- Write clean, modular Python code for APIs, microservices, automation logic, and integrations.
Required Skills
- Good experience in automation or AWS cloud development experience.
- Experience with AWS agentic automation (Q, AgentCore, LangChain/LangGraph/CrewAI).
AWS AI Engineer in London employer: Cognizant
Contact Detail:
Cognizant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS AI Engineer in London
✨Tip Number 1
Network like a pro! Connect with folks in the AWS community on LinkedIn or attend local meetups. 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 AWS AI tools like Q or Textract. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python coding skills and understanding AWS services deeply. Practice common interview questions related to automation and AI to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace AWS AI Engineer in London
Some tips for your application 🫡
Show Off Your AWS Skills: Make sure to highlight your experience with AWS cloud services and any specific tools mentioned in the job description. We want to see how you've used these technologies in real-world scenarios, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the key responsibilities and required skills listed in the job description. We love seeing candidates who take the time to align their experiences with what we’re looking for.
Keep It Clean and Clear: When writing your application, make sure it’s easy to read and free of jargon. Use clear language and structure your information logically. We appreciate a well-organised application that gets straight to the point!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Cognizant
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services, especially those mentioned in the job description like AWS Q, AgentCore, and Textract. Be ready to discuss how you've used these tools in past projects or how you would approach specific tasks using them.
✨Showcase Your Automation Skills
Prepare examples of your experience with automation and AI agent-based solutions. Think about specific projects where you developed workflows or implemented GenAI patterns. Being able to articulate your thought process and the impact of your work will impress the interviewers.
✨Demonstrate Your Coding Proficiency
Since writing clean, modular Python code is crucial for this role, be prepared to discuss your coding practices. You might even be asked to solve a coding problem on the spot, so practice common algorithms and be ready to explain your reasoning as you code.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's use of AWS technologies, their current projects, or team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.