AWS Solutions Architect

VSG Business Solutions • Boston, MA

22h • Onsite

About The Position

Seeking a Solutions Architect with expertise in AWS solution design, Generative AI (GenAI), and machine learning (ML) to help shape technical strategy and architecture for enterprise solutions. The role designs and implements innovative, scalable, and secure cloud-native solutions; defines AWS architecture for enterprise-scale projects; integrates AI/ML and automation into cloud environments; and drives organizational modernization initiatives. The position is onsite four days a week at 695 Atlantic Ave, Boston, MA, and includes an onsite interview.

The architect leads AWS solution strategy and design, including serverless, microservices, data-driven, and AI/ML-enabled solutions. Responsibilities include designing and deploying secure, resilient, scalable AWS environments; optimizing cost, performance, and reliability; integrating on-premises systems; and applying AWS Well-Architected Framework principles. The role also oversees GitHub repository practices and CI/CD automation, designs data pipelines and governance frameworks, operationalizes AI/ML models, reviews application designs, and creates architectural blueprints and AWS solution diagrams.

The position participates in the Architectural Review Board in collaboration with the Chief Architect, mentors architects, engineers, and data scientists, and provides technical leadership throughout project delivery. It partners with stakeholders, evaluates existing architectures for modernization opportunities, and stays current with AWS and AI/ML technologies.

Candidates should have a bachelor's degree in Computer Science, Engineering, or a related field; a master's degree is preferred. The posting requires 15+ years of technology architecture experience, including 7+ years designing AWS-based solutions, and proven leadership of enterprise-scale cloud transformation projects. Preferred certifications include AWS Certified Solutions Architect (Professional) and AWS Certified Machine Learning Specialty. AI/ML certifications are optional. Experience in Property & Casualty Insurance or other data-intensive sectors, and familiarity with policy, claims, and billing systems, are preferred.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 15+ years of experience in technology architecture.
• 7+ years designing AWS-based solutions.
• Proven experience leading enterprise-scale cloud transformation projects.
• Expertise in AWS services including Lambda, EC2, ECS, EKS, Redshift, DynamoDB, RDS, S3, Glue, Kinesis, IAM, KMS, Cognito, API Gateway, VPC, CloudFront, CloudFormation, Terraform, CodePipeline, and Jenkins.
• Strong proficiency in Java, Java EE, Spring, Angular, and related frameworks.
• Expertise in AI/ML tools including TensorFlow, PyTorch, and SageMaker.
• Proficiency in data architecture design, including ETL pipelines and data lakes.

Nice To Haves

• Master's degree in Computer Science, Engineering, or a related field preferred.
• AWS Certified Solutions Architect (Professional) certification preferred.
• AWS Certified Machine Learning Specialty certification preferred.
• AI/ML certifications are optional.
• Industry experience in Property & Casualty Insurance or other data-intensive sectors preferred.
• Familiarity with policy, claims, and billing systems preferred.

Responsibilities

• Develop and articulate AWS solution architecture strategy aligned with business goals.
• Design and implement cloud-native solutions using AWS services, including serverless architectures.
• Make architectural decisions for data-driven applications and AI/ML-enabled solutions, and advance enterprise adoption of AI/ML, GenAI, and cloud technologies.
• Architect and deploy scalable, resilient, and secure AWS solutions using compute, storage, networking, security, and DevOps services.
• Optimize cloud infrastructure for cost, performance, and reliability.
• Design integration between on-premises systems and AWS cloud solutions.
• Implement serverless and microservices architectures using services such as AWS Lambda and API Gateway.
• Ensure cloud security best practices and AWS Well-Architected Framework principles are followed.
• Oversee GitHub repository organization and version-control and collaboration best practices.
• Design and implement CI/CD pipelines using GitHub Actions for automated testing, deployment, and monitoring.
• Establish branching strategies, automated code-quality checks, repository permissions, and GitHub workflow adoption.
• Design and implement AWS data pipelines, data lakes, and real-time data processing frameworks.
• Use AWS Glue, Redshift, Kinesis, and Athena for data transformation and analytics, and establish data governance frameworks for security and compliance.
• Collaborate with data scientists and engineers to operationalize AI/ML models.
• Architect and deploy AI/ML solutions on AWS using SageMaker, Lambda, and related services.
• Implement GenAI applications involving LLMs, NLP, and computer vision, and optimize AI/ML workflows for scalability, performance, and cost.
• Review designs and development of Java, Java EE, Spring Boot, and Angular applications to ensure AWS integration.
• Develop architectural blueprints, including detailed AWS solution diagrams.
• Participate in the Architectural Review Board with the Chief Architect to support enterprise-wide alignment and governance.
• Build and mentor architects, engineers, and data scientists, and provide technical leadership throughout project delivery.
• Partner with stakeholders to ensure solutions meet technical and business requirements.
• Assess existing architectures and identify modernization opportunities using AWS, AI/ML, and data technologies.
• Stay abreast of AWS advancements, AI/ML trends, and emerging cloud technologies; conduct architectural reviews for alignment with best practices and enterprise standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior