RSA Tech
Solutions Architect- AWS, Gen AI & ML
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Solutions Architect specializing in AWS, Gen AI, and ML, based in Boston, MA, with a contract length of over 6 months. Pay rate is competitive. Key skills include AWS architecture, AI/ML integration, and strong Java proficiency.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
October 16, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Boston, MA 02133
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🧠 - Skills detailed
#GitHub #Data Lake #Monitoring #VPC (Virtual Private Cloud) #TensorFlow #Compliance #Strategy #Scala #AI (Artificial Intelligence) #WAF (Web Application Firewall) #Jenkins #Deployment #Cloud #Data Pipeline #Athena #Leadership #PyTorch #Redshift #DynamoDB #Automated Testing #IAM (Identity and Access Management) #Version Control #Java #Terraform #RDS (Amazon Relational Database Service) #NLP (Natural Language Processing) #DevOps #Angular #EC2 #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Lambda (AWS Lambda) #SageMaker #Security #Storage #S3 (Amazon Simple Storage Service) #Data Science #API (Application Programming Interface) #Data Architecture #Microservices #AWS Lambda #AWS (Amazon Web Services) #Spring Boot #Data Processing #Computer Science #Automation #Data Governance
Role description
Solutions Architect- AWS, GenAI & MLBoston, MA – 4 days/week onsiteF2F IV will be required
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.
· DevOps: CloudFormation, 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.
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.
Data Architecture
· 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.
Continuous Improvement
· 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
· AWS Expertise:
· Compute: Lambda, EC2, ECS, EKS.
· Data: Redshift, DynamoDB, RDS, S3, Glue, Kinesis.
· Security: IAM, KMS, Cognito.
· Networking: API Gateway, VPC, CloudFront.
· DevOps: CloudFormation, Terraform, CodePipeline, Jenkins.
· 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 (Preferred):
· AWS Certified Solutions Architect (Professional).
· AWS Certified Machine Learning Specialty. (Optional)
· AI/ML certifications. (Optional)
Job Types: Full-time, Contract
Work Location: In person
Solutions Architect- AWS, GenAI & MLBoston, MA – 4 days/week onsiteF2F IV will be required
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.
· DevOps: CloudFormation, 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.
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.
Data Architecture
· 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.
Continuous Improvement
· 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
· AWS Expertise:
· Compute: Lambda, EC2, ECS, EKS.
· Data: Redshift, DynamoDB, RDS, S3, Glue, Kinesis.
· Security: IAM, KMS, Cognito.
· Networking: API Gateway, VPC, CloudFront.
· DevOps: CloudFormation, Terraform, CodePipeline, Jenkins.
· 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 (Preferred):
· AWS Certified Solutions Architect (Professional).
· AWS Certified Machine Learning Specialty. (Optional)
· AI/ML certifications. (Optional)
Job Types: Full-time, Contract
Work Location: In person
