Design and lead team through implementation of GenAI applications and solutions on AWS, including use of agent frameworks, vector data stores, Sagemaker Jumpstart and Amazon Bedrock, in a 100% remote position.
Requirements
- Proven experience designing and implementing creative GenAI and ML solutions leveraging the latest tools and frameworks, especially from AWS
- Experience designing vector data store solutions including database selection, configuration and schema setup
- Strong python experience
- Experience with GenAI application architecture design
- Experience working with data pipelines, and demonstrated ability to handle unstructured, semi-structured data, working in a data lake environments
- Experience with IAC solutions such as Terraform, AWS CDK or CloudFormation
- Ability to lead projects, train, and mentor more junior team members
- Ability to work with implementation of application and data security, encryption, PII/PSI legislation, identity and access management across environments
- AWS Certified AI Practitioner Certification (required within 6 months of hire)
- AWS Solution Architect - Associate Certification (required within 6 months of hire)
- Additional AWS Specialty or Professional Certification (required within 1 year of hire)
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Relocation Assistance