AWS Engineer

AWS GenAI Engineer

About Role

The world of Generative AI is evolving at an unprecedented pace, and organizations need bold engineers who can turn cutting-edge AWS capabilities into real, production-ready solutions. As an AWS GenAI Engineer at Cognizant, you will take on the exciting challenge of architecting and configuring a robust, AWS-based Generative AI platform from the ground up — bridging proof-of-concept innovation with full-scale production deployment.

You will be at the forefront of defining how intelligent, AI-driven applications are built, secured, and optimized, directly shaping outcomes for our clients in a fast-moving, high-impact environment.

How You Will Make an Impact

As an AWS GenAI Engineer, you will be a valued member of our Technology & Engineering team [1] , collaborating closely with solution architects, data engineers, and AI specialists to deliver transformative GenAI capabilities at scale.

In this role, you will:

Configure Amazon Bedrock models and inference profiles to power scalable, production-grade GenAI applications

Build and manage Bedrock Knowledge Bases , including end-to-end metadata ingestion pipelines into PostgreSQL and Bedrock Knowledge Base

Implement vector indexing and semantic search capabilities to enable highly relevant, context-aware AI responses

Develop seamless API integrations between AWS services and the GenAI application, leveraging API Gateway and Lambda

Optimize security posture , including IAM roles, networking configurations, and secrets management to ensure compliance and data protection

Monitor and optimize LLM performance and costs using CloudWatch and AWS-native tooling to drive efficiency at scale

At Cognizant, we strive to provide flexibility wherever possible. Based on this role's business requirements, this is an onsite position in the Netherlands. 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. [1]

What You Must Have to Be Considered

Proven hands-on experience with AWS services , including Amazon Bedrock, Lambda, API Gateway, S3, IAM, and CloudWatch

Practical knowledge of Amazon Bedrock Knowledge Bases and the ability to configure and manage them end-to-end

Solid experience with PostgreSQL and building metadata ingestion pipelines for AI/GenAI workloads

Proficiency in Python for developing backend logic, automation scripts, and API integrations

Demonstrated experience in GenAI application deployment , including vector indexing, semantic search configuration, and LLM cost optimization

These Will Help You Stand Out

Experience transitioning GenAI proof-of-concept (POC) projects into production environments

Familiarity with advanced Amazon Bedrock inference profile configurations and model fine-tuning

Knowledge of AWS networking best practices and secrets management (e.g., AWS Secrets Manager)

Experience optimizing cloud infrastructure costs at scale using AWS cost management tools

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. [2]

E — Environment & What We Offer

At Cognizant, you'll join a technology-driven organization with an open team spirit and a truly international environment where innovation and collaboration thrive. We are deeply committed to supporting your professional and personal growth at every stage of your career.

What we offer:

Competitive salary

A technology-driven organization with an open team spirit and a dynamic international work environment

Contact the Recruiter

Interested in this opportunity? We'd love to hear from you — reach out directly to our recruiter:

Megha Nagpal ✉️ Megha.Nagpal3@cognizant.com +31 6 2715 5643