Job Description
NO Corp to Corp
No third party vendors
Only local
In-person interview is mandatory
Solutions Architect – AWS, AI/ML, GenAI
Location: Boston, MA - 4 days at the office
Schedule: Mon–Thu in-office
Type: Long-term Contract
Interviews: 2 Zoom + 1 Onsite
Local candidates only | 10–15 years experience required
Solutions Architect to lead AWS architecture, AI/ML integrations, and enterprise modernization initiatives. This role drives technical strategy, designs scalable cloud-native systems, and partners across engineering, data, and product teams to deliver high-impact solutions.
Key Responsibilities
- Define and lead AWS architecture strategy for enterprise projects.
- Architect scalable, secure cloud-native solutions (Lambda, EC2/ECS/EKS, S3, DynamoDB, RDS, API Gateway, VPC, CloudFront).
- Implement AI/ML and Generative AI solutions using SageMaker and modern ML frameworks.
- Design data pipelines, lakes, and analytics platforms using Glue, Redshift, Kinesis, Athena.
- Oversee GitHub repo structure and build CI/CD pipelines with GitHub Actions.
- Guide application design for Java, Spring Boot, Angular integrations with AWS.
- Participate in Architectural Review Board and mentor engineers across teams.
- Optimize cost, performance, reliability, and security following AWS best practices.
Requirements
- Bachelor’s degree required; Master’s preferred.
- 15+ years in technology architecture, 7+ years designing AWS solutions.
- Strong background in cloud modernization, AI/ML, and data engineering.
- Proficiency with Java, Spring Boot, Angular, Terraform/CloudFormation, CI/CD, and AWS security.
- Preferred: AWS Solutions Architect Professional, AWS ML Specialty.
- Insurance industry experience (P&C) is a plus.