TPA Technologies
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Solutions Architect AWS | AI/ML | Generative AI
Location:
Boston, MA (695 Atlantic Ave) Work Model:
Onsite MondayThursday (Friday remote) Employment Type:
Long-term contract Interviews:
2 Zoom + 1 onsite in-person Local candidates only (no relocation) About the Role AWS
Solutions Architect
with deep expertise in
AWS cloud solution design, Generative AI (GenAI), and Machine Learning (ML)
to drive technical strategy and enterprise architecture. This role is ideal for a highly technical leader who can design and implement
secure, scalable, and AI-driven cloud solutions
that enable digital transformation and modernization. Key Responsibilities Strategic Leadership Define and communicate AWS solution architecture strategies aligned with enterprise goals. Lead modernization efforts using
cloud-native, serverless, and AI/ML-enabled solutions . Drive enterprise adoption of Generative AI and advanced analytics. AWS Solution Design Architect and deploy
scalable, resilient, and secure
AWS solutions (Lambda, EC2, ECS/EKS, S3, DynamoDB, RDS, API Gateway, CloudFront, IAM, KMS, WAF). Optimize infrastructure for performance, cost, and reliability. Design integrations between on-premises systems and AWS cloud services. Implement microservices and serverless architectures using AWS Lambda and API Gateway. GitHub & CI/CD Automation Manage GitHub repository structure and enforce best practices for version control and collaboration. Build CI/CD pipelines using GitHub Actions, automating testing, deployment, and monitoring. Maintain secure branching strategies and code quality controls. Data Architecture & AI/ML Design data lakes, ETL pipelines, and real-time data processing frameworks (Glue, Redshift, Kinesis, Athena). Operationalize AI/ML models on AWS using SageMaker and other native services. Integrate
Generative AI (LLMs, NLP, computer vision)
into enterprise solutions. Application & Automation Design Oversee architecture for Java, Java EE, Spring Boot, and Angular applications integrated with AWS. Produce clear architectural blueprints and solution diagrams. Qualifications Bachelors degree in Computer Science, Engineering, or related field (Masters preferred). 15+ years in technology architecture; 7+ years designing AWS-based solutions. Expertise in: AWS services:
Lambda, EC2, ECS/EKS, S3, DynamoDB, RDS, Glue, Kinesis, API Gateway, CloudFront, IAM, KMS. DevOps:
CloudFormation, Terraform, CodePipeline, Jenkins, GitHub Actions. Programming:
Java, Java EE, Spring Boot, Angular. AI/ML:
TensorFlow, PyTorch, SageMaker, Generative AI applications. Data architecture:
ETL, data lakes, real-time processing. Preferred certifications: AWS Certified Solutions Architect (Professional), AWS Machine Learning Specialty. Domain experience in
insurance, financial services, or other data-intensive industries
a plus.
Boston, MA (695 Atlantic Ave) Work Model:
Onsite MondayThursday (Friday remote) Employment Type:
Long-term contract Interviews:
2 Zoom + 1 onsite in-person Local candidates only (no relocation) About the Role AWS
Solutions Architect
with deep expertise in
AWS cloud solution design, Generative AI (GenAI), and Machine Learning (ML)
to drive technical strategy and enterprise architecture. This role is ideal for a highly technical leader who can design and implement
secure, scalable, and AI-driven cloud solutions
that enable digital transformation and modernization. Key Responsibilities Strategic Leadership Define and communicate AWS solution architecture strategies aligned with enterprise goals. Lead modernization efforts using
cloud-native, serverless, and AI/ML-enabled solutions . Drive enterprise adoption of Generative AI and advanced analytics. AWS Solution Design Architect and deploy
scalable, resilient, and secure
AWS solutions (Lambda, EC2, ECS/EKS, S3, DynamoDB, RDS, API Gateway, CloudFront, IAM, KMS, WAF). Optimize infrastructure for performance, cost, and reliability. Design integrations between on-premises systems and AWS cloud services. Implement microservices and serverless architectures using AWS Lambda and API Gateway. GitHub & CI/CD Automation Manage GitHub repository structure and enforce best practices for version control and collaboration. Build CI/CD pipelines using GitHub Actions, automating testing, deployment, and monitoring. Maintain secure branching strategies and code quality controls. Data Architecture & AI/ML Design data lakes, ETL pipelines, and real-time data processing frameworks (Glue, Redshift, Kinesis, Athena). Operationalize AI/ML models on AWS using SageMaker and other native services. Integrate
Generative AI (LLMs, NLP, computer vision)
into enterprise solutions. Application & Automation Design Oversee architecture for Java, Java EE, Spring Boot, and Angular applications integrated with AWS. Produce clear architectural blueprints and solution diagrams. Qualifications Bachelors degree in Computer Science, Engineering, or related field (Masters preferred). 15+ years in technology architecture; 7+ years designing AWS-based solutions. Expertise in: AWS services:
Lambda, EC2, ECS/EKS, S3, DynamoDB, RDS, Glue, Kinesis, API Gateway, CloudFront, IAM, KMS. DevOps:
CloudFormation, Terraform, CodePipeline, Jenkins, GitHub Actions. Programming:
Java, Java EE, Spring Boot, Angular. AI/ML:
TensorFlow, PyTorch, SageMaker, Generative AI applications. Data architecture:
ETL, data lakes, real-time processing. Preferred certifications: AWS Certified Solutions Architect (Professional), AWS Machine Learning Specialty. Domain experience in
insurance, financial services, or other data-intensive industries
a plus.