AI/ML Cloud Engineer

Cognizant • Canada
Remote
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AI Summary

Design and implement scalable serverless applications using AWS Lambda, Step Functions, EventBridge, SQS, and SNS. Manage data pipelines and storage using Amazon S3 and integrate with Textract for document processing workflows. Develop event-driven architecture and microservices to support AI/ML workloads.

Key Highlights
AWS Bedrock serverless architecture
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Key Responsibilities
Design and implement scalable serverless applications
Manage data pipelines and storage
Develop event-driven architecture and microservices
Technical Skills Required
Python AWS AWS Lambda AWS Step Functions AWS EventBridge AWS SQS AWS SNS Amazon S3 Textract OpenSearch PostgreSQL
Benefits & Perks
Competitive salary
Pension plan with matching contributions
Flexible health and financial benefits
Paid time off
Flexible work arrangements
Volunteering opportunities
Social events
Nice to Have
React
Typescript

Job Description


Job Description - External

We are seeking a highly skilled and motivated AI/ML Cloud Engineer with deep expertise in Python programming and Amazon Web Services (AWS). The ideal candidate will have hands-on experience with AWS Bedrock serverless architecture and Large Language Models (LLMs) particularly Anthropic Claude 3.5 Sonnet v2. You will be responsible for designing developing and deploying intelligent cloud-native applications that leverage Retrieval-Augmented Generation (RAG) and prompt engineering techniques.

In This Role, You Will

  • Design and implement scalable serverless applications using AWS Lambda Step Functions EventBridge SQS and SNS.
  • Manage data pipelines and storage using Amazon S3 and integrate with Textract for document processing workflows.
  • Develop event-driven architecture and microservices to support AI/ML workloads.

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs.

Location- US/Canada- Remote.

Please note, this role will not offer visa transfer or sponsorship now or in the future

What You Need To Have To Be Considered

  • Minimum 3+ Years of experience with Large Language Models (LLMs), particularly: Anthropic Claude 3.5 Sonnet v2
  • Understanding of Retrieval-Augmented Generation (RAG)
  • Have extensive experience in AWS RDS (Relational Database Service) / SQL
  • Must be hands-on in AWS IAM (Roles and Policies)
  • Mandatory experience in Vector Databases such as:
    • OpenSearch
    • PostgreSQL
  • Nice to have React and Typescript
These will help you stand out

  • Diploma or degree in IT

At Cognizant, we're eager to meet people who believe in our mission and can make an impact in various ways! We strongly encourage you to apply even if you only meet the required skills listed. Consider what transferrable experience and skills make you an outstanding applicant and help us see how you'd be helpful to this role.

Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs.

Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What We Offer

  • The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
  • Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
  • The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
  • A comprehensive total rewards package, including a competitive salary and pension plan with matching contributions.
  • Flexible health and financial benefits to support you and your eligible dependents—from day one.
  • True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.

About Us

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.

Other Employment-related Information

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.

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