Solutions Architect (Generative AI (GenAI), Machine Learning (ML))
Boston, Massachusetts (4 day hybrid / Weeks)
long term contract
2nd Round interview F2F
Job Description.
Oxford's client is seeking an experienced Solutions Architect with expertise in AWS Solution Design, Generative AI (GenAI), Machine Learning (ML) to help the technical strategy and architecture for enterprise solutions . In this role, you will design and implement innovative, scalable, and secure cloud-native solutions.
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.
Strategic Leadership
Develop and articulate the AWS solution architecture strategy, ensuring alignment with business goals.
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.
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:
o Compute: Lambda, EC2, ECS, EKS.
o Storage: S3, EBS, EFS, DynamoDB, RDS.
o Networking: VPC, API Gateway, CloudFront.
o Security: IAM, KMS, Cognito, WAF.
o DevOps: CloudFormation, Terraform, Code Pipeline, Code Deploy, Jenkins.
Optimize cloud infrastructure for cost, performance, and reliability.
Design 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
Data Architecture
AI/ML and Generative AI Integration
Solution Design and Automation
Leadership and Mentorship
Continuous Improvement
Education and Experience
Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred).
15+ 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:
o Compute: Lambda, EC2, ECS, EKS.
o Data: Redshift, DynamoDB, RDS, S3, Glue, Kinesis.
o Security: IAM, KMS, Cognito.
o Networking: API Gateway, VPC, CloudFront.
o 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:
o AWS Certified Solutions Architect (Professional).
o AWS Certified Machine Learning Specialty. (Optional)
o AI/ML certifications. (Optional)
Domain Knowledge
Industry experience in Property & Casualty Insurance or other data-intensive sectors preferred.
Familiarity with policy, claims, and billing systems preferred.
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