AWS Solutions Architect

Job Title:

AWS Solutions Architect

Location:

Boston, MA 4 days/week onsite
- Locals Only

Exp Level: 15+ years

F2F interview required

AWS Solutions Architect

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.

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.

Architect and deploy highly scalable, resilient, and secure solutions using AWS services:

• o Compute:
  Lambda, EC2, ECS, EKS.
• o Storage: S3, EBS, EFS, DynamoDB, RDS.
• o Networking: VPC, API Gateway, Cloud Front.
• o Security: IAM, KMS, Cognito, WAF.
• o Dev Ops:
  Cloud Formation, Terraform, Code Pipeline, Code Deploy, Jenkins.

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.

Oversee the organization of Git Hub repositories, ensuring adherence to best practices for version control and collaboration.

Design and implement CI/CD pipelines using Git Hub 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 Git Hub 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.

Architect and deploy AI/ML solutions on AWS using Sage Maker, 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.

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.

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…