Senior AI Engineer ( Node JS, AWS & Typescript)

About the role

As a Senior AI Software Engineer , you will make an impact by designing and building scalable, cloud-native backend platforms and AI-enabled solutions. You will be a valued member of the engineering team and work collaboratively with product, architecture, QA, security, and business stakeholders to deliver high-quality, enterprise-grade applications.

In this role, you will:
Design and develop backend and platform-based solutions using Node.js, TypeScript, and Python, including APIs, services, and data layers

Build, deploy, and optimize cloud-native applications on AWS , leveraging services such as API Gateway, Lambda, Bedrock, S3, EventBridge, DynamoDB, PostgreSQL, and Fargate

Implement and manage Infrastructure as Code (IaC) using AWS CDK to enable scalable, maintainable cloud environments

Develop and integrate Generative AI solutions (RAG, chatbot/copilot experiences) into enterprise workflows

Ensure high-quality code through testing, debugging, CI/CD pipelines, and best engineering practices

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a Hybrid position in Des Moines, IA .

Regardless of your working arrangement, we support a healthy work-life balance through our wellbeing programs.

The working arrangements for this role are accurate as of the date of posting and may evolve depending on business and client needs.

What you need to have to be considered

6–8 years of software engineering experience with strong hands-on development in modern application engineering

Mandatory (Non-negotiable): Strong expertise in Node.js, TypeScript, and Python

Mandatory: Hands-on experience with AWS CDK and Infrastructure as Code (IaC)

Strong AWS experience, including services such as API Gateway, Lambda, Bedrock, S3, EventBridge, DynamoDB, PostgreSQL, CloudWatch, and Fargate

Experience building backend/platform-oriented full-stack systems , including APIs, microservices, databases, and cloud deployments

At least 1 year of hands-on experience building Generative AI solutions , such as RAG-based systems, chatbots, or enterprise AI assistants

Practical understanding of prompt engineering and how prompt design impacts output quality and reliability

Familiarity with retrieval and generation concepts such as embeddings, chunking, semantic search, vector search, and response tuning (top-k, top-p)

Strong understanding of software engineering fundamentals , including testing, debugging, version control, and CI/CD

These will help you stand out

Experience implementing guardrails, safety controls, and output validation in AI systems (e.g., handling hallucinations, prompt injection, and security risks)

Experience delivering enterprise-grade APIs/services integrating AI capabilities into business processes

Strong collaboration and communication skills with cross-functional teams

Ability to work in fast-paced environments with a focus on delivery and quality

Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

Medical/Dental/Vision/Life Insurance.

Paid holidays plus Paid Time Off.

401(k) plan and contributions.

Long-term/Short-term Disability.

Paid Parental Leave.

Employee Stock Purchase Plan.

We’re excited to meet people who share our passion for technology and innovation and who can make an impact in a variety of ways. Don’t hesitate to apply , even if you meet most—but not all—of the requirements. We value transferable skills, diverse experiences, and fresh perspectives.

This position does not offer visa sponsorship. Candidates must be authorized to work without sponsorship now or in the future, including OPT, CPT, or any other work authorization requiring employer sponsorship.