AWS Solutions Architect

SharpAtoms; Boston (MA); On-site; USD 190,000 - 260,000; Full time

Job summary

SharpAtoms seeks a Solutions Architect to define and execute AWS-based architectures for enterprise-scale solutions. You will design scalable, secure cloud-native systems and integrate GenAI/ML workflows across the organization.

Responsibilities include leading AWS strategy, serverless design, data pipelines, and CI/CD automation, while mentoring a team of architects and engineers. Strong cloud governance and Well-Architected expertise are essential.

Qualifications

• Bachelor’s degree in CS or engineering (Master’s preferred).
• 15+ years in tech architecture with 7+ designing AWS-based solutions.
• Proven leadership of enterprise-scale cloud transformation.

Responsibilities

• Develop and articulate AWS solution strategy aligned to business goals.
• Design cloud-native solutions using AWS and serverless architecture.
• Lead data-driven, AI/ML-enabled applications and GenAI initiatives.
• Oversee GitHub repositories and CI/CD via GitHub Actions.
• Collaborate with data scientists and engineers for AI/ML deployment.
• Review architectures for AWS Well-Architected compliance.

Skills

AWS architecture

GenAI/ML

Cloud-native design

Java/Spring/Angular

Data pipelines

CI/CD

Security best practices

Data governance

Education

Bachelor's degree in CS/Engineering

Master's preferred

Tools

Lambda

EC2

ECS

EKS

S3

Redshift

DynamoDB

RDS

API Gateway

VPC

CloudFront

IAM

KMS

Cognito

WAF

Glue

Kinesis

SageMaker

TensorFlow

PyTorch

Job description

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.

Certifications

• AWS Certified Solutions Architect (Professional).


• AI/ML certifications. (Optional)

Domain Knowledge

• Industry experience in Property & Casualty Insurance or other data-intensive sectors preferred.


• Familiarity with policy, claims, and billing systems preferred.