Required Technical Skills
- 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
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior