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Solutions Architect
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-01-07
Listing for:
Data Freelance Hub
Contract
position Listed on 2026-01-07
Job specializations:
-
IT/Tech
Cloud Computing, AI Engineer
Job Description & How to Apply Below
Job Overview
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Solutions Architect on a contract basis for 6 months, offering $65.10 - $70.00 per hour. Requires 15+ years in technology architecture, 7+ years with AWS solutions, and expertise in AI/ML. On-site in "Location".
United States
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. Compute:
Lambda, EC2, ECS, EKS;
Storage: S3, EBS, EFS, Dynamo
DB, RDS;
Networking: VPC, API Gateway, Cloud Front;
Security: IAM, KMS, Cognito, WAF;
Dev Ops:
Cloud Formation, Terraform, Code Pipeline, Code Deploy, Jenkins. Optimize cloud infrastructure for cost, performance, and reliability. Design integration of on‑premises systems with AWS cloud solutions. Ensure compliance with cloud security best practices and AWS Well‑Architected Framework principles. - Git Hub Management and CI/CD Automation – Oversee organization of Git Hub repositories, ensuring adherence to best practices for version control and collaboration. Design and implement CI/CD pipelines using Git Hub Actions for automated testing, deployment, and monitoring. Establish branching strategies, enforce code quality standards through automated checks, and manage repository permissions.
- Data Architecture – Design and implement data pipelines, data lakes, and real‑time data processing frameworks on AWS. Leverage AWS tools such as 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 Sage Maker, 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 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. 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.
- 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:
AWS (Compute, Data, Security, Networking, Dev Ops), Java, Java EE, Spring, Angular, AI/ML tools (Tensor Flow, PyTorch, Sage Maker), data architecture design (ETL pipelines, data lakes). - Certifications (preferred): AWS Certified Solutions Architect – Professional; AWS Certified Machine Learning Specialty; other AI/ML certifications.
- Domain Knowledge:
Industry experience in Property & Casualty Insurance or other data‑intensive sectors preferred. Familiarity with policy, claims, and billing systems preferred.
Contract – Pay: $65.10 - $70.00 per hour.
Work Location:
On‑site.
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