AI Architect

Qualifications

• Programming Architecture Python 310 Async design modular distributed architecture microservices
• AIML Frameworks OpenAI API HuggingFace Transformers TensorFlow PyTorch experience with finetuning and inference optimization
• Data Context Management SQLAlchemy PostgreSQL JSON Schema Mapping feature engineering and contextual pipelines
• Vector Databases Semantic Search ChromaDB Milvus FAISS embedding optimization and similarity search strategies
• Algorithmic Design Strong understanding of algorithm layering retrieval reasoning planning hybrid AI approaches and computeaware model selection
• API Integration Security REST GraphQL OAuth enterprise grade security practices
• DevOps CICD Git Docker Azure DevOps or equivalent FastAPI Uvicorn containerized deployments and automated pipelines
• Agentic Capabilities Reasoning adaptation tool calling MCP based solutions ReAct agents Supervisor multiagent coordination

Responsibilities

• Design multilayered AI solutions balancing compute efficiency contextual fidelity and algorithmic adaptability retrieval reasoning planning tool use
• 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 tool based agents for optimal performance
• Collaborate with cross functional 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 high performance AI workloads
• Define observability baselines telemetry tracing evaluation metrics and rollout strategies for safe iterative deployments
• LangChain Ecosystem LangChain LangGraph prompt templates agent orchestration patterns

Full Description

Role: AI Architect

Location: Torrance, CA (3 days/ week Onsite)

Job description

Key Responsibilities

Design multilayered AI solutions balancing compute efficiency contextual fidelity and algorithmic adaptability retrieval reasoning planning tool use

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 tool based agents for optimal performance

Collaborate with cross functional 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 high performance AI workloads

Define observability baselines telemetry tracing evaluation metrics and rollout strategies for safe iterative deployments

Required Skills

Programming Architecture Python 310 Async design modular distributed architecture microservices

LangChain Ecosystem LangChain LangGraph prompt templates agent orchestration patterns

AIML Frameworks OpenAI API HuggingFace Transformers TensorFlow PyTorch experience with finetuning and inference optimization

Data Context Management SQLAlchemy PostgreSQL JSON Schema Mapping feature engineering and contextual pipelines

Vector Databases Semantic Search ChromaDB Milvus FAISS embedding optimization and similarity search strategies

Algorithmic Design Strong understanding of algorithm layering retrieval reasoning planning hybrid AI approaches and computeaware model selection

API Integration Security REST GraphQL OAuth enterprise grade security practices

DevOps CICD Git Docker Azure DevOps or equivalent FastAPI Uvicorn containerized deployments and automated pipelines

Agentic Capabilities Reasoning adaptation tool calling MCP based solutions ReAct agents Supervisor multiagent coordination

Performance Optimization Distributed compute strategies GPUTPU utilization quantization pruning distillation caching batching

Thanks and Regards

Jayesh Bhati

Recruitment and operation

Email: Jayesh@smartitframe.com

Smart IT Frame LLC.