Generative AI Engineer

CDW; United States; Remote; USD 100,000 - 140,000; Part time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A leading IT solutions provider is seeking a skilled Generative AI Developer to work remotely in the U.S. This role involves building and optimizing Generative AI applications on AWS, requiring strong Python skills and experience with tools like Amazon Bedrock and SageMaker. Ideal candidates will have a solid understanding of AI/ML integration and DevOps practices. Benefits include medical insurance, vision insurance, and a 401(k).

Qualifications

• Hands-on experience designing and building GenAI applications.
• Experience with vector database design and implementation.
• Familiarity with unstructured data handling.

Responsibilities

• Build and implement Generative AI applications using AWS tools.
• Develop and maintain documentation for GenAI implementations.
• Support DevOps efforts including CI/CD pipelines.

Skills

Python development

AI/ML model integration

Problem-solving

Technical documentation

Communication skills

Tools

Amazon Bedrock

SageMaker JumpStart

Terraform

Docker

Kubernetes

Job description

Overview

Lead, Technical Recruiting @ CDW | ServiceNow, Network Engineering, Infrastructure, Security

CDW

100% Remote (U.S.-based)

CDW is seeking a highly skilled Generative AI Developer to join our growing cloud practice. In this role, you will work closely with clients to build, deploy, and optimize GenAI applications on AWS, leveraging technologies such as Amazon Bedrock, SageMaker JumpStart, and vector databases. You’ll be at the forefront of AI innovation—designing intelligent applications, translating business needs into scalable solutions, and driving real-world impact through GenAI.

Responsibilities

• Build and implement cutting-edge Generative AI applications using AWS tools, especially Amazon Bedrock, along with vector data stores, agent frameworks, and LLM orchestration.
• Work with clients to understand requirements, current-state environments, and business goals to inform technical designs and project roadmaps.
• Develop and maintain documentation, training materials, and onboarding guides for GenAI implementations.
• Support DevOps efforts including CI/CD pipelines, containerization, and infrastructure-as-code (Terraform, AWS CDK, or CloudFormation).

Required Qualifications

• Hands-on experience designing and building GenAI applications, particularly with Amazon Bedrock, SageMaker JumpStart, or similar AWS-native AI services.
• Strong Python development skills, with experience in AI/ML model integration and orchestration.
• Experience with vector database design and implementation (e.g., Pinecone, FAISS, Weaviate, Amazon OpenSearch with vector support).
• Familiarity with unstructured data handling and data lake environments.
• Working knowledge of IAC tools like Terraform, AWS CDK, or CloudFormation.
• Excellent problem-solving, technical documentation, and communication skills.
• Experience building secure applications with awareness of PII, encryption, and IAM best practices.

Preferred Qualifications

• AWS Certified AI Practitioner and AWS Solutions Architect – Associate (or ability to earn within 6 months).
• Additional AWS Specialty or Professional Certifications (within 1 year).
• Familiarity with the broader AWS ecosystem: VPC, EC2, Lambda, API Gateway.
• Web development experience (React or full-stack frameworks a plus).
• Experience with CI/CD tooling and containerization (e.g., Docker, Kubernetes).
• Past experience working in Agile/Scrum environments and managing Jira backlogs.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• IT Services and IT Consulting

Benefits and additional information

• Medical insurance
• Vision insurance
• 401(k)

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