AI Architect Lead

Asterism IT Solutions LLC

United States

Sur place

USD 150 000 - 210 000

Plein temps

Il y a 2 jours
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Résumé du poste

Asterism IT Solutions LLC seeks a senior AI/ML architect to lead enterprise AI initiatives in the United States. You will shape architecture, roadmaps, and governance for scalable AI platforms leveraging AWS SageMaker, Bedrock, Lambda, and Snowflake within data lakes, warehouses, and real-time pipelines.

You will oversee end-to-end model deployment, monitoring, and operationalization with CI/CD, while collaborating with business and technology teams to deliver impactful AI solutions and robust

Qualifications

  • Experience in AI/ML solution architecture for enterprise platforms.
  • Ability to define roadmaps, patterns, and best practices for scalable AI platforms.
  • Strong stakeholder management with business and technology teams.

Responsabilités

  • Lead end-to-end data platform design including data lakes and data warehouses.
  • Oversee real-time data pipelines and data engineering best practices.
  • Architect and operationalize ML models with monitoring and CI/CD.
  • Drive governance, security controls, and regulatory compliance in AI deployments.

Outils

AI/ML architecture
AWS SageMaker
Generative AI
RAG architectures
Vector databases
AI governance
Snowflake architecture
Data pipelines
MLOps
CI/CD
Model deployment
Security controls

Description du poste

  • AI/ML solution architecture and enterprise AI strategy
  • AWS services such as SageMaker, Bedrock, Lambda, ECS/EKS, API Gateway, Glue, Athena, Redshift, and S3
  • Generative AI, LLMs, RAG architectures, vector databases, and AI governance
  • Snowflake architecture, Snowpark, Cortex, data sharing, performance optimization, and data engineering best practices
  • End-to-end data platform design, including data lakes, data warehouses, and real-time data pipelines
  • MLOps, CI/CD, model deployment, monitoring, and operationalization
  • Strong stakeholder management and experience leading architecture discussions with business and technology teams
  • Experience defining roadmaps, solution patterns, security controls, and best practices for scalable AI platforms
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