Lead Architect
Plymouth Rock Assurance is seeking an experienced Lead Architect with expertise in AWS Solution Design, Data Architecture, Generative AI (GenAI), Machine Learning (ML), and Artificial Intelligence (AI) to lead the technical strategy and architecture for enterprise solutions. In this role, you will design and implement innovative, scalable, and secure cloud-native solutions while leading a high-performing team of architects and engineers.
You will be instrumental in defining the AWS architecture for enterprise-scale projects, integrating AI/ML and automation solutions into cloud-based environments, and driving modernization initiatives across the organization.
Essential Functions and Responsibilities:
Strategic Leadership
- Develop and articulate the AWS solution architecture strategy, ensuring alignment with business goals.
- Lead the 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.
- Serve as a thought leader for 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.
- Lead 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 administration and 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.
- Lead the implementation of 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
- Oversee the design and development of Java, Java EE, Spring Boot, and Angular applications, ensuring integration with AWS services.
- Implement RPA solutions using UiPath, enhancing business processes through automation.
- Develop comprehensive architectural blueprints, including detailed AWS solution diagrams.
Leadership and Mentorship
- Manage 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).
- 20+ 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)
- UiPath RPA Developer. (Optional)
- AI/ML certifications (e.g., TensorFlow Developer, Coursera AI/ML). (Optional)
Domain Knowledge
- Industry experience in Property & Casualty Insurance or other data-intensive sectors preferred.
- Familiarity with policy, claims, and billing systems preferred.
About the Company:
The Plymouth Rock Company and its affiliated group of companies write and manage over $2.0 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 2,000 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.
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