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- Tasks: Design and develop automation solutions using AWS tools and low-code platforms.
- Company: Join Cognizant, a leader in innovation and creativity.
- Benefits: Competitive salary, career development, and a collaborative work environment.
- Why this job: Make an impact with cutting-edge technology and innovative projects.
- Qualifications: Strong AWS experience and skills in automation engineering.
- Other info: Diverse team culture with equal opportunities for all applicants.
The predicted salary is between 36000 - 60000 £ per year.
Excellent opportunity for AWS Automation Engineers with strong expertise in AWS cloud services, automation engineering, agent-based automation, and RPA skills to deliver end‑to‑end automations using AWS-native tooling, low-code platforms, and full-code engineering across enterprise systems.
Key Responsibilities
- Design and develop automation solutions using AWS Lambda, Step Functions, EventBridge, API Gateway, S3, DynamoDB, Aurora, SNS/SQS, CloudWatch/CloudTrail, KMS, Secrets Manager.
- Build intelligent document processing workflows leveraging AWS Textract, Comprehend, and extraction pipelines.
- Develop autonomous agents using AWS Q, AgentCore, LangChain, LangGraph, CrewAI, or AutoGen for reasoning, orchestration, and tool-use.
- Implement GenAI automation patterns including RAG, summarisation, classification, and routing using AWS Bedrock.
- Build monitoring and automation insight dashboards using AWS QuickSight.
- Build and integrate RPA automations using tools like UiPath, Power Automate, or Automation Anywhere, linking them with AWS APIs and event-driven architectures.
- Write clean, modular Python code for APIs, microservices, automation logic, and integrations.
- Use Terraform or AWS CDK for Infrastructure-as-Code, and adopt Git workflows, containerization, and automated testing.
- Troubleshoot, optimize, and tune automation workloads for reliability, performance, and cost efficiency.
Required Skills
- Strong experience in automation or AWS cloud development experience.
- Strong hands‑on expertise in AWS serverless & event‑driven architecture.
- Experience with agentic automation (Q, AgentCore, LangChain/LangGraph/CrewAI).
- Exposure to RPA tools (UiPath, Power Automate, AA).
- Understanding of IAM, VPC networking, encryption, and cloud security.
AWS Certifications
- AWS Solutions Architect – Associate (must have)
- AWS SysOps Administrator – Associate (good to have)
- AWS DevOps Engineer – Professional (strong advantage)
Preferred Skills
- Experience with AWS Bedrock, OpenSearch, RAG implementations, or vector DBs.
- Familiarity with Power Platform and Copilot Studio.
At Cognizant you will experience an exciting mix of innovation by design, creativity, collaboration, and efficiency within a framework of stimulating objectives and a passion for delivering the best to our customers. You will be joining a network of some of the most creative, innovative, and dedicated people in the industry with ample opportunities to learn and develop your career. Our Associates are chosen for their attitude, skills, knowledge, and enthusiasm but above all, their belief that anything is possible. Cognizant is an equal opportunities employer, and we welcome all applications regardless of race, colour, gender, ethnic origin, nationality, religion or beliefs, disability, age, sexual orientation, political opinions, or trade union membership.
AWS Automation Engineer - AI employer: Cognizant
Contact Detail:
Cognizant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Automation Engineer - AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects and automation solutions. 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 love seeing applications directly from candidates who are passionate about joining us at StudySmarter. It shows initiative and enthusiasm!
We think you need these skills to ace AWS Automation Engineer - AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS cloud services and automation engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about automation and how your expertise can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with tools like AWS Lambda, Terraform, and RPA platforms. We’re looking for specific examples of how you’ve used these technologies in past roles, so be detailed!
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’s super easy – just follow the prompts!
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 Lambda, Step Functions, and DynamoDB. Be ready to discuss how you've used these tools in past projects and how they can be applied to automation solutions.
✨Showcase Your Automation Skills
Prepare examples of your experience with automation engineering and RPA tools like UiPath or Power Automate. Think about specific challenges you faced and how you overcame them using these technologies. This will demonstrate your hands-on expertise and problem-solving abilities.
✨Get Familiar with GenAI Patterns
Since the role involves implementing GenAI automation patterns, it’s crucial to understand concepts like summarisation and classification. Be prepared to discuss how you would approach these tasks using AWS Bedrock and other relevant tools.
✨Practice Clean Coding and Infrastructure as Code
As you'll be writing Python code and using Terraform or AWS CDK, practice articulating your coding style and best practices. Be ready to explain how you ensure your code is clean, modular, and efficient, as well as how you manage infrastructure through code.