Role: AI Architect - Amazon Web Services (AWS) with Bedrock

Location: Torrance, CA (Onsite Hybrid - 3 Days)

Duration: Contract

Job Description:

• Design multilayered AI solutions balancing compute efficiency contextual fidelity and algorithmic adaptability retrieval reasoning planning tooluse
• Develop advanced RAG pipelines leveraging vector databases eg ChromaDB Milvus FAISS and embedding strategies for contextual accuracy
• Integrate AI capabilities with enterprise systems via REST and GraphQL APIs ensuring secure and scalable interoperability
• Establish best practices for algorithm selection and layering combining neural models symbolic reasoning and toolbased agents for optimal performance
• Collaborate with crossfunctional teams to embed AI agents into business workflows and align with compliance and governance standards
• Implement structured output validation and schema enforcement using Pydantic FastAPI and JSON Schema for robust data integrity
• Optimize compute resources and latency tradeoffs across cloud hybrid and edge environments for highper formance AI workloads
• Define observability baselines telemetry tracing evaluation metrics and rollout strategies for safe iterative deployments

Required Skills:

• Programming Architecture Python 310 Async design modulardistributed architecture microservices
• LangChain Ecosystem LangChain LangGraph prompt templates agent orchestration patterns
• AIML Frameworks OpenAI API HuggingFace Transformers Tensor Flow PyTorch experience with finetuning and inference optimization
• Data Context Management SQL Alchemy PostgreSQL JSON Schema Mapping feature engineering and contextual pipelines