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- Tasks: Create smart automation solutions using AWS tools and build intelligent workflows.
- Company: Join a leading tech firm focused on AI and cloud innovation.
- Benefits: Attractive salary, flexible work options, and opportunities for skill development.
- Why this job: Be at the forefront of AI technology and make a significant impact.
- Qualifications: Experience in AWS cloud services and automation development is essential.
- Other info: Exciting projects with potential for rapid 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 Automation Engineer in London employer: Cognizant
Contact Detail:
Cognizant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS AI Automation Engineer in London
✨Tip Number 1
Network like a pro! Connect with fellow AWS enthusiasts on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS AI automation. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AWS scenarios and automation challenges. Practise explaining your thought process and solutions clearly, as communication is key in tech roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented AWS AI Engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AWS AI Automation Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS cloud services and AI automation. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AWS AI automation and how you can contribute to our team. We love hearing personal stories that connect your experience to the role.
Showcase Your Technical Skills: When detailing your experience, focus on specific tools and languages mentioned in the job description, like Python and AWS-native tooling. We’re looking for candidates who can hit the ground running, so make it clear how you meet those requirements.
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 services, especially those mentioned in the job description like AWS Q and Textract. Be ready to discuss how you've used these tools in past projects or how you would approach specific automation challenges.
✨Showcase Your Coding Skills
Since writing clean, modular Python code is crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding exercises that involve APIs and microservices to show off your skills.
✨Prepare Real-World Examples
Think of specific projects where you've implemented automation or worked with AI agents. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will help interviewers see your practical experience in action.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company's use of AWS AI technologies and their future projects. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.