Senior Generative AI Platform Engineer
Overview
Lead design and delivery of scalable enterprise AI platforms using modern LLMs AI orchestration frameworks cloud-native technologies and Model Context Protocol (MCP). Drive platform ownership and ship production-grade GenAI applications. This role differs by focusing on MCP integration and production scalability across multiple locations.
What You'll Do7
- 1Design and implement generative AI solutions leveraging large language models and AI orchestration frameworks
- 2Develop and maintain production-grade AI platforms using AWS services and containerization technologies
- 3Own end-to-end development of AI pipelines utilizing Spark and Airflow for data processing
- 4Drive adoption of Model Context Protocol (MCP) for seamless AI workflow integration
- 5Collaborate with cross-functional teams to architect scalable cloud-native architectures
- 6Implement monitoring and observability solutions for AI model performance and reliability
- 7Mentor junior engineers and establish best practices for AI platform development
Requirements5
- 15+ years building ETL pipelines with Spark and Airflow
- 2Experience with AWS infrastructure and services
- 3Proficiency in Python and React frameworks
- 4Knowledge of Kubernetes for container orchestration
- 5Familiarity with CI/CD pipelines and deployment strategies
Salary Insight
Salary not disclosed in listing
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