RSA Tech
AWS Solutions Architect with GenAI & ML - W2 and F2F Interview
RSA Tech, Boston, Massachusetts, us, 02298
Overview
AWS Solutions Architect with GenAI & ML – W2 and F2F interview. Our client seeks an experienced Solutions Architect with expertise in AWS Solution Design, Generative AI (GenAI), and Machine Learning (ML) to shape the technical strategy and architecture for enterprise solutions. You will design and implement innovative, scalable, and secure cloud-native solutions and define the AWS architecture for enterprise-scale projects, integrating AI/ML and automation across cloud environments. You will be instrumental in modernization initiatives, driving adoption of AWS, AI/ML, and data technologies. F2F interview required. You must accept to join on W2; C2C is not encouraged for this role. Essential Functions and Responsibilities
Strategic Leadership
Develop and articulate the AWS solution architecture strategy, ensuring alignment with business goals. Design and implement 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. Security: IAM, KMS, Cognito, WAF. DevOps: CloudFormation, Terraform, CodePipeline, CodeDeploy, Jenkins. Optimize cloud infrastructure for cost, performance, and reliability. Design integration of on-premises systems with AWS cloud solutions. Implement serverless and microservices architectures leveraging 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 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. Drive adoption of GitHub workflows for streamlined development and delivery processes.
Data and AI/ML Integration
Design and implement data pipelines, data lakes, and real-time data processing 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 SageMaker, Lambda, and related services. Implement GenAI applications (LLMs, NLP, computer vision) and optimize AI/ML workflows for scalability, performance, and cost.
Solution Design and Automation
Review the design and development of Java, Java EE, Spring Boot, and Angular applications, ensuring integration with AWS services.
Leadership and Mentorship
Participate in Architectural Review Board (ARB) with the Chief Architect, ensuring enterprise-wide architectural alignment and governance. Build and mentor a team of architects, engineers, and data scientists, fostering 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 modernize with AWS, AI/ML, and data technologies. 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
Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
Experience
15+ years in technology architecture, with 7+ years designing AWS-based solutions. Proven experience leading enterprise-scale cloud transformation projects.
Technical Skills
Data: Redshift, DynamoDB, RDS, S3, Glue, Kinesis. Security: IAM, KMS, Cognito. DevOps: CloudFormation, Terraform, CodePipeline, Jenkins. Programming: Java, Java EE, Spring, Angular. AI/ML: TensorFlow, PyTorch, SageMaker. Data architecture: ETL pipelines and data lakes. Certifications
AWS Certified Solutions Architect (Professional). AWS Certified Machine Learning Specialty (Optional). 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. Seniority level: Mid-Senior level Employment type: Contract
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AWS Solutions Architect with GenAI & ML – W2 and F2F interview. Our client seeks an experienced Solutions Architect with expertise in AWS Solution Design, Generative AI (GenAI), and Machine Learning (ML) to shape the technical strategy and architecture for enterprise solutions. You will design and implement innovative, scalable, and secure cloud-native solutions and define the AWS architecture for enterprise-scale projects, integrating AI/ML and automation across cloud environments. You will be instrumental in modernization initiatives, driving adoption of AWS, AI/ML, and data technologies. F2F interview required. You must accept to join on W2; C2C is not encouraged for this role. Essential Functions and Responsibilities
Strategic Leadership
Develop and articulate the AWS solution architecture strategy, ensuring alignment with business goals. Design and implement 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. Security: IAM, KMS, Cognito, WAF. DevOps: CloudFormation, Terraform, CodePipeline, CodeDeploy, Jenkins. Optimize cloud infrastructure for cost, performance, and reliability. Design integration of on-premises systems with AWS cloud solutions. Implement serverless and microservices architectures leveraging 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 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. Drive adoption of GitHub workflows for streamlined development and delivery processes.
Data and AI/ML Integration
Design and implement data pipelines, data lakes, and real-time data processing 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 SageMaker, Lambda, and related services. Implement GenAI applications (LLMs, NLP, computer vision) and optimize AI/ML workflows for scalability, performance, and cost.
Solution Design and Automation
Review the design and development of Java, Java EE, Spring Boot, and Angular applications, ensuring integration with AWS services.
Leadership and Mentorship
Participate in Architectural Review Board (ARB) with the Chief Architect, ensuring enterprise-wide architectural alignment and governance. Build and mentor a team of architects, engineers, and data scientists, fostering 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 modernize with AWS, AI/ML, and data technologies. 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
Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
Experience
15+ years in technology architecture, with 7+ years designing AWS-based solutions. Proven experience leading enterprise-scale cloud transformation projects.
Technical Skills
Data: Redshift, DynamoDB, RDS, S3, Glue, Kinesis. Security: IAM, KMS, Cognito. DevOps: CloudFormation, Terraform, CodePipeline, Jenkins. Programming: Java, Java EE, Spring, Angular. AI/ML: TensorFlow, PyTorch, SageMaker. Data architecture: ETL pipelines and data lakes. Certifications
AWS Certified Solutions Architect (Professional). AWS Certified Machine Learning Specialty (Optional). 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. Seniority level: Mid-Senior level Employment type: Contract
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