- AI Architecture Engineering
- Define and own AI reference architectures for generative AI agentic systems and AI augmented applications
- Architect scalable solutions using LLMs multi agent systems orchestration frameworks and AI pipelines
- Design AI platforms supporting model serving prompt management RAG and workflow orchestration
- Establish architectural standards for performance scalability reliability and cost efficiency
- Platform Engineering Integration
- Build reusable AI components for LLM integration vector search embeddings and inference services
- Enable secure and scalable deployment using Kubernetes serverless platforms and CI CD pipelines
- Integrate AI capabilities into enterprise systems using APIs SDKs and event driven architectures
- Collaborate with QE teams to embed AI into test automation test data generation and intelligent validation
- LLM AND RAG OR Retrieval Augmented Generation AND
- LangChain OR LangGraph OR CrewAI OR AutoGen AND
- Python AND Kubernetes Agentic AI OR Multi Agent Systems OR
- Autonomous Agents OR
- AI Orchestration AWS Bedrock OR Azure OpenAI OR Vertex AI AND
- Kubernetes OR Docker AND
- Microservices OR Cloud Native
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