Jobs via Dice
Solutions Architect with AWS, GenAI & ML
Boston, MA – 4 days/week onsite Experience: 15+ Years – 7+ years designing AWS-based solutions Note: Face-to-face interview required Role Overview
Lead the technical strategy and architecture for enterprise solutions, focusing on AWS solution design, Generative AI (GenAI), and Machine Learning (ML). Design and implement scalable, secure cloud-native solutions that integrate AI/ML and automation across the organization. Essential Functions and Responsibilities
Develop and articulate AWS solution architecture strategy, aligning 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. Optimize cloud infrastructure for cost, performance, and reliability. Ensure compliance with cloud security best practices and AWS Well-Architected Framework principles. GitHub Management and CI/CD Automation
Oversee GitHub repository organization and best practices for version control. Design and implement CI/CD pipelines using GitHub Actions. Drive adoption of GitHub workflows for streamlined development and delivery. 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. AI/ML and Generative AI Integration
Architect and deploy AI/ML solutions on AWS using SageMaker, Lambda, and related services. Implement Generative AI (GenAI) applications, such as large language models (LLMs), NLP, and computer vision. 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) with the Chief Architect. Build and mentor a team of architects, engineers, and data scientists. Provide technical leadership throughout the project lifecycle. Continuous Improvement
Assess and enhance existing architectures to leverage AWS, AI/ML, and data technologies. Stay abreast of AWS advancements, AI/ML trends, and emerging cloud technologies. Qualifications and Education
Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred). 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).
#J-18808-Ljbffr
Boston, MA – 4 days/week onsite Experience: 15+ Years – 7+ years designing AWS-based solutions Note: Face-to-face interview required Role Overview
Lead the technical strategy and architecture for enterprise solutions, focusing on AWS solution design, Generative AI (GenAI), and Machine Learning (ML). Design and implement scalable, secure cloud-native solutions that integrate AI/ML and automation across the organization. Essential Functions and Responsibilities
Develop and articulate AWS solution architecture strategy, aligning 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. Optimize cloud infrastructure for cost, performance, and reliability. Ensure compliance with cloud security best practices and AWS Well-Architected Framework principles. GitHub Management and CI/CD Automation
Oversee GitHub repository organization and best practices for version control. Design and implement CI/CD pipelines using GitHub Actions. Drive adoption of GitHub workflows for streamlined development and delivery. 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. AI/ML and Generative AI Integration
Architect and deploy AI/ML solutions on AWS using SageMaker, Lambda, and related services. Implement Generative AI (GenAI) applications, such as large language models (LLMs), NLP, and computer vision. 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) with the Chief Architect. Build and mentor a team of architects, engineers, and data scientists. Provide technical leadership throughout the project lifecycle. Continuous Improvement
Assess and enhance existing architectures to leverage AWS, AI/ML, and data technologies. Stay abreast of AWS advancements, AI/ML trends, and emerging cloud technologies. Qualifications and Education
Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred). 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).
#J-18808-Ljbffr