Contract

Workiy; Boston; On-site; PHP 1,200,000 - 2,300,000; Full time

Job summary

Workiy is seeking experienced AWS Cloud Architects to design, implement, and optimize scalable, secure cloud solutions with a focus on AI/ML workloads. Candidates should be proficient in AWS services, architecture patterns, and modern cloud-native technologies.

You will collaborate with teams to drive enterprise modernization, automation, and robust disaster recovery strategies. Ideal candidates bring hands-on experience with Terraform, AWS CDK, and CI/CD pipelines, and demonstrate strong

Qualifications

• Experience designing and implementing enterprise-grade AWS solutions.
• Strong knowledge of AWS services: EC2, S3, Lambda, VPC, IAM, RDS, CloudWatch.
• Practical exposure to AI/ML workloads and cloud-based ML deployments.
• Understanding of generative AI concepts and LLM integration on AWS.

Responsibilities

• Design scalable, secure AWS architectures for enterprise applications.
• Lead cloud modernization and migration initiatives with best practices.
• Collaborate with DevOps and security teams to implement resilient deployments.

Skills

AWS Cloud Architecture

AI/ML workloads

Terraform / IaC

CI/CD / DevOps

Security & DR

LLM integration

Tools

Terraform

CloudFormation

AWS CDK

SageMaker

Job description

Workiy is a leading IT solutions and staff augmentation company committed to driving business success through talent acquisition and technology expertise. With a proven track record of excellence, Workiy empowers organizations across industries by connecting them with top-tier IT professionals and delivering innovative technology solutions.

Job Description

Seeking experienced AWS Cloud Architects with exposure to Artificial Intelligence (AI), Machine Learning (ML), and modern cloud-native technologies to design, implement, and optimize scalable, secure, and resilient cloud solutions. The ideal candidates will possess strong hands-on experience with AWS architecture, cloud infrastructure, distributed systems, and enterprise application modernization, along with an understanding of AI/ML workloads and their deployment in cloud environments.

Requirements

• Strong hands-on experience designing and implementing enterprise-grade solutions on AWS.
• Solid understanding of AWS cloud architecture, networking, compute, storage, databases, and security services.
• Experience with AWS services such as EC2, S3, Lambda, VPC, IAM, RDS, and CloudWatch.
• Practical exposure to AI/ML technologies, AI-enabled applications, or cloud-based machine learning workloads.
• Understanding of generative AI concepts, LLM integration, or AWS AI services such as Amazon Bedrock or SageMaker.
• Experience with cloud security, high availability, disaster recovery, scalability, and performance optimization.
• Knowledge of Infrastructure as Code, preferably Terraform, CloudFormation, or AWS CDK.
• Experience with CI/CD, DevOps practices, and automated cloud deployments.
• Strong architecture documentation, troubleshooting, communication, and stakeholder collaboration skills.