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AI Architect
Job in
Torrance, Los Angeles County, California, 90504, USA
Listed on 2026-01-05
Listing for:
Smart IT Frame LLC
Full Time
position Listed on 2026-01-05
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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 (Chroma
DB, Milvus, FAISS) and embedding strategies for contextual accuracy. - Integrate AI capabilities with enterprise systems via REST and Graph
QL 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.
- Lang Chain Ecosystem (Lang Chain, Lang Graph, prompt templates, agent orchestration patterns).
- AIML Frameworks and APIs (OpenAI, Hugging Face Transformers, Tensor Flow, PyTorch) with fine tuning and inference optimization.
- Data Context Management (SQL Alchemy, Postgre
SQL, JSON Schema, mapping, feature engineering, contextual pipelines). - Vector Databases and Semantic Search (Chroma
DB, 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, Graph
QL, OAuth) and enterprise‑grade security practices. - Dev Ops and CICD—Git, Docker, Azure Dev Ops 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.
Jayesh Bhati
Recruitment and Operations
Email:
Smart IT Frame LLC.
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