RSA Tech
Solutions Architect – AWS, GenAI & ML
Our client is seeking an experienced Solutions Architect to lead the development and implementation of scalable, secure cloud‑native solutions integrated with AI/ML across enterprise systems.
Key Responsibilities
Architect and deploy AWS solutions, including serverless and microservices using Lambda, API Gateway.
Lead AI/ML and Generative AI initiatives, building SageMaker, LLM, NLP, computer vision pipelines.
Drive cloud adoption and modernization, optimizing cost, performance, and reliability.
Design secure data architecture, integrating on‑premises with AWS, data lakes, Glue, Redshift, Kinesis.
Manage GitHub repositories, design CI/CD using GitHub Actions, enforce branching and code quality.
Collaborate with data scientists to operationalize AI/ML models and data governance.
Participate in architectural review board, mentor architects and engineers.
Stay current with AWS advancements and AI/ML trends.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
15+ years in technology architecture, 7+ years designing AWS‑based solutions.
Proven enterprise cloud transformation leadership.
Strong proficiency in Java, Spring, Angular; Java EE expertise.
Advanced experience in AI/ML tools: TensorFlow, PyTorch, SageMaker.
Hands‑on data architecture: Redshift, DynamoDB, RDS, S3, Glue, Kinesis.
Security expertise: IAM, KMS, Cognito.
DevOps proficiency: CloudFormation, Terraform, CodePipeline, Jenkins.
Certifications (Optional)
AWS Certified Solutions Architect – Professional (required).
AWS Certified Machine Learning Specialty.
Other AI/ML certifications.
Employment Type Contract – W2, Full‑time. Face‑to‑face interview required.
Locations & Compensation Greater Boston area. Salary range $170,000 – $180,000 (subject to experience).
Referrals increase your chances of interviewing at RSA Tech by 2x. Get notified about new Solutions Architect jobs in
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Key Responsibilities
Architect and deploy AWS solutions, including serverless and microservices using Lambda, API Gateway.
Lead AI/ML and Generative AI initiatives, building SageMaker, LLM, NLP, computer vision pipelines.
Drive cloud adoption and modernization, optimizing cost, performance, and reliability.
Design secure data architecture, integrating on‑premises with AWS, data lakes, Glue, Redshift, Kinesis.
Manage GitHub repositories, design CI/CD using GitHub Actions, enforce branching and code quality.
Collaborate with data scientists to operationalize AI/ML models and data governance.
Participate in architectural review board, mentor architects and engineers.
Stay current with AWS advancements and AI/ML trends.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
15+ years in technology architecture, 7+ years designing AWS‑based solutions.
Proven enterprise cloud transformation leadership.
Strong proficiency in Java, Spring, Angular; Java EE expertise.
Advanced experience in AI/ML tools: TensorFlow, PyTorch, SageMaker.
Hands‑on data architecture: Redshift, DynamoDB, RDS, S3, Glue, Kinesis.
Security expertise: IAM, KMS, Cognito.
DevOps proficiency: CloudFormation, Terraform, CodePipeline, Jenkins.
Certifications (Optional)
AWS Certified Solutions Architect – Professional (required).
AWS Certified Machine Learning Specialty.
Other AI/ML certifications.
Employment Type Contract – W2, Full‑time. Face‑to‑face interview required.
Locations & Compensation Greater Boston area. Salary range $170,000 – $180,000 (subject to experience).
Referrals increase your chances of interviewing at RSA Tech by 2x. Get notified about new Solutions Architect jobs in
Boston, MA .
#J-18808-Ljbffr