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aws python kubernetes tensorflow pytorch📋 Description
- Architect enterprise AI platforms using LLMs, retrieval, and data access.
- Deliver scalable, secure platforms for analytics and AI workloads.
- Build Agentic AI apps with search, orchestration, and automation.
- Collaborate with data scientists, engineers, and product teams.
- Optimize AI search using OpenSearch and vector databases.
- Lead architecture decisions and drive AI innovation.
🎯 Requirements
- Degree in Computer Science, Information Systems, Engineering, or related.
- 15+ years designing scalable AI platforms and ML/DL solutions.
- 15+ years partnering with stakeholders to define AI requirements.
- 15+ years architecting Agentic AI solutions with LLMs, retrieval, governance.
- Expertise with OpenSearch and vector databases for large-scale apps.
- Python, Spark, OpenSearch, Iceberg, Lakekeeper, ETL frameworks.
- Experience with AWS/Azure/GCP and container/orchestration (Docker, Kubernetes).
- TS/SCI with Full-Scope Polygraph clearance.
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