AI Architect

Smart IT Frame LLC; Torrance (CA); On-site; USD 160,000 - 230,000; Full time

Job summary

A leading tech staffing firm in California is seeking an AI Architect. This role involves designing multilayered AI solutions and developing advanced RAG pipelines while ensuring secure API integration with enterprise systems. Candidates should have a strong command of AI frameworks, algorithmic design, and performance optimization. The position offers an opportunity to collaborate with cross-functional teams and implement best practices in AI technology.

Qualifications

• Strong understanding of multilayered AI solutions and algorithmic adaptability.
• Experience with APIs for secure and scalable interoperability.
• Familiarity with industry best practices in AI deployment.
• Knowledge of algorithm layering and tool-based agents.
• Collaboration with cross-functional teams for governance and compliance.
• Proficiency in Pydantic, FastAPI, and JSON Schema for data integrity.
• Experience optimizing compute resources across cloud, hybrid, edge.
• Define observability baselines and rollout strategies for safe deployments.

Responsibilities

• Design multilayered AI solutions balancing compute efficiency and contextual fidelity.
• Develop advanced RAG pipelines leveraging vector databases.
• Integrate AI capabilities with enterprise systems via REST and GraphQL APIs.
• Establish best practices for algorithm selection and performance optimization.
• Collaborate with cross-functional teams for embedding AI agents into workflows.
• Implement structured output validation for data integrity.
• Optimize compute resources across cloud and hybrid environments.
• Define observability baselines and rollout strategies for deployments.

Skills

LangChain Ecosystem

AIML Frameworks and APIs

Data Context Management

Vector Databases and Semantic Search

Algorithmic Design

API Integration and Security

DevOps and CICD

Agentic Capabilities

Performance Optimization

Job description

Empowering Innovators at Smart IT Frame | Building Tomorrow's Technology Today | Technical Recruiter | US Staffing

Role: AI Architect

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 (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

• LangChain Ecosystem (LangChain, LangGraph, prompt templates, agent orchestration patterns).
• AIML Frameworks and APIs (OpenAI, HuggingFace Transformers, TensorFlow, PyTorch) with finetuning and inference optimization.
• Data Context Management (SQLAlchemy, PostgreSQL, JSON Schema, mapping, feature engineering, contextual pipelines).
• Vector Databases and Semantic Search (ChromaDB, Milvus, FAISS) with embedding optimization and similarity search strategies.
• Algorithmic Design—strong understanding of algorithm layering, retrieval, reasoning, planning, hybrid AI approaches, and compute‑aware model selection.
• API Integration and Security (REST, GraphQL, OAuth) and enterprise‑grade security practices.
• DevOps and 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 multi‑agent coordination.
• Performance Optimization—distributed compute strategies, GPU/T‑PU utilization, quantization, pruning, distillation, caching, batching.

Contact

Jayesh Bhati

Recruitment and Operations

Email: [e-mail]

Smart IT Frame LLC.