AWS Solutions Architect- AI/ML
New
USAFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- AWSDockerData engineeringTerraformCloudFormationGenerative AI
Requirements
- 8+ years of experience designing, building, and operating solutions on AWS.
- Strong expertise in cloud modernization, data engineering, and AI/ML architecture.
- Strong understanding of cloud-native patterns and AWS Well-Architected best practices.
- Knowledge of AWS services including Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
- Proven expertise in designing data pipelines, integrating data lakes, and data warehouses.
- Experience migrating legacy applications to AWS using containers (Docker, ECS, EKS) and serverless technologies.
- Proficiency with Terraform or CloudFormation for infrastructure automation.
- Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance.
- Strong experience in pre-sales and customer-facing roles.
- AWS Certified Machine Learning – Specialty (Highly Preferred)
- AWS Certified Solutions Architect – Associate or Professional (Highly Preferred)
Responsibilities
- Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS.
- Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies.
- Lead technical presales discussions, collaborating with sales teams to understand client needs and design solutions.
- Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture.
- Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions.
- Define and implement cloud governance frameworks to ensure compliance with AWS security policies.
- Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams.
- Implement advanced Generative AI use cases using AWS tools to automate business processes.
- Lead cloud migration initiatives, focusing on data modernization, app modernization, and multi-region deployments.
- Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning.
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