Principal Applied AI SA, Software, AI, and Technology (Digital Native)
Tasks
- Advise enterprise customers on model selection customization and fine tuning
- Build retrieval augmented generation systems with vector databases
- Collaborate with partners and ISVs on AI adoption and production deployment
- Create responsible AI governance and compliance frameworks
- Create secure AI pipelines and implement AI security best practices
- Design multi agent systems using Bedrock AgentCore and Strands Agents SDK
- Design scalable secure cost effective generative AI solutions on AWS
- Develop GenAIOps and AgentOps practices for enterprise customers
- Develop technical reference architectures workshops and demos
- Optimize LLM inference performance for production workloads
- Partner across AWS teams to accelerate customer success
- Write reusable integration patterns for LLM and RAG systems
Perks/Benefits
Skills/Tech-stack
AI Pipelines | AI Security | Agent systems | AgentOps | Agentic AI | Amazon Web Services | Compliance | Context engineering | Fine Tuning | GenAIOps | Generative AI | Governance | Inference Optimization | Language Models | Large Language Models | Model Customization | Model Fine-tuning | Multi-Agent | Multi-Agent Systems | Orchestration | Prompt engineering | Responsible AI | Retrieval-Augmented Generation | Vector Databases | Web Services
Education
N/A
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