AWS Solutions Architect

ZealHire Inc.

Boston (MA)

On-site

USD 180,000 - 240,000

Full time

24 hours ago
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Job summary

ZealHire Inc. in Boston, MA seeks an experienced Solutions Architect to lead AWS-based architecture for enterprise-scale projects. You will design cloud-native solutions, integrate GenAI/ML capabilities, and drive modernization across the organization.

The role emphasizes strategic leadership, hands-on design, and collaboration with data scientists and engineers. Onsite 4 days/week with face-to-face interview requirements.

Qualifications

  • Bachelor’s degree in CS, Engineering, or related field; Master’s preferred.
  • 15+ years in technology architecture with 7+ years AWS design experience.
  • Proven leadership of enterprise-scale cloud transformation projects.

Responsibilities

  • Strategic leadership in AWS solution architecture and cloud-native design.
  • Architect and deploy scalable, secure AWS solutions for enterprise use.
  • Lead GitHub CI/CD, data pipelines, and AI/ML integration.
  • Mentor architects, engineers, and data scientists; govern architectural standards.

Skills

AWS Architecture
GenAI/ML
Java
Angular
Leadership
DevOps

Education

Bachelor's in CS/Engineering
Master’s preferred

Tools

GitHub Actions
Glue
Redshift
Kinesis
Athena
Lambda
EC2
S3

Job description

Boston, Massachusetts, United States Contract Deadline: Dec 12, 2026

Boston, MA – 4 days/week onsite Locals with verified location. F2F interview required EAD/USC/GC

Seeking a Solutions Architect with expertise in AWS Solution Design, Generative AI (GenAI), Machine Learning (ML) to help the technical strategy and architecture for enterprise solutions. In this role, you will design and implement innovative, scalable, and secure cloud-native solutions.

You will be instrumental in defining the AWS architecture for enterprise-scale projects, integrating AI/ML and automation solutions into cloud-based environments, and driving modernization initiatives across the organization.

Essential Functions and Responsibilities:
Strategic Leadership
  • Develop and articulate the AWS solution architecture strategy, ensuring alignment with business goals.
  • Design and implementation of cloud-native solutions using AWS services, including serverless architectures.
  • Drive architectural decisions for data-driven applications and AI/ML-enabled solutions.
  • Implement AI/ML, GenAI, and cloud adoption across the enterprise.
AWS Solution Design
  • Architect and deploy highly scalable, resilient, and secure solutions using AWS services:
    • Compute: Lambda, EC2, ECS, EKS.
    • Storage: S3, EBS, EFS, DynamoDB, RDS.
    • Networking: VPC, API Gateway, CloudFront.
    • Security: IAM, KMS, Cognito, WAF.
  • Optimize cloud infrastructure for cost, performance, and reliability.
  • Design the integration of on-premises systems with AWS cloud solutions.
  • Implement serverless and microservices architectures leveraging AWS tools like AWS Lambda and API Gateway.
  • Ensure compliance with cloud security best practices and AWS Well-Architected Framework principles.
GitHub Management and CI/CD Automation
  • Oversee the organization of GitHub repositories, ensuring adherence to best practices for version control and collaboration.
  • Design and implement CI/CD pipelines using GitHub Actions for automated testing, deployment, and monitoring.
  • Establish branching strategies, enforce code quality standards through automated checks, and manage repository permissions to maintain security and integrity.
  • Drive adoption of GitHub workflows for streamlined development and delivery processes.
  • Design and implement data pipelines, data lakes, and real-time data processing frameworks on AWS.
  • Leverage AWS tools like Glue, Redshift, Kinesis, and Athena for data transformation and analytics.
  • Establish data governance frameworks to ensure security and compliance.
  • Collaborate with data scientists and engineers to operationalize AI/ML models.
AI/ML and Generative AI Integration
  • Architect and deploy AI/ML solutions on AWS using SageMaker, Lambda, and related services.
  • Implement Generative AI (GenAI) applications, such as large language models (LLMs), NLP, and computer vision.
  • Optimize AI/ML workflows for scalability, performance, and cost on AWS cloud platforms.
Solution Design and Automation
  • Review the design and development of Java, Java EE, Spring Boot, and Angular applications, ensuring integration with AWS services.
  • Develop comprehensive architectural blueprints, including detailed AWS solution diagrams.
Leadership and Mentorship
  • Participate in Architectural Review Board (ARB) in collaboration with the Chief Architect, ensuring enterprise-wide architectural alignment and governance.
  • Build and mentor a team of architects, engineers, and data scientists, fostering a culture of innovation and excellence.
  • Provide technical leadership throughout the project lifecycle, from inception to delivery.
  • Partner with stakeholders to ensure solutions meet technical and business requirements.
  • Assess and enhance existing architectures, identifying opportunities to leverage AWS, AI/ML, and data technologies for modernization.
  • Stay abreast of AWS advancements, AI/ML trends, and emerging cloud technologies.
  • Conduct architectural reviews to ensure alignment with AWS best practices and enterprise standards.
Qualifications and Education:
Education and Experience
  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
  • 15+ years of experience in technology architecture, with 7+ years designing AWS-based solutions.
  • Proven experience leading enterprise-scale cloud transformation projects.
Technical Skills
  • Compute: Lambda, EC2, ECS, EKS.
  • Data: Redshift, DynamoDB, RDS, S3, Glue, Kinesis.
  • Security: IAM, KMS, Cognito.
  • Networking: API Gateway, VPC, CloudFront.
  • Strong proficiency in Java, Java EE, Spring, Angular, and related frameworks.
  • Expertise in AI/ML tools: TensorFlow, PyTorch, SageMaker.
  • Proficiency in data architecture design, including ETL pipelines and data lakes.

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