AI Architect: Agentic Workflows & Scalable LLMs

Grid Dynamics; Atlanta (GA); On-site; USD 180,000 - 270,000; Full time

Benefits offered by this job

Medical insurance

Sports activities

Corporate social events

Well-equipped office

Job summary

Grid Dynamics is seeking an AI architect to design and implement end-to-end AI systems, combining training of models with integration of Agentic tools for autonomous operations.

You will lead multi-agent orchestration, model customization, and scalable RAG pipelines, leveraging PyTorch, Hugging Face, and vector databases on cloud platforms. Join a fast-moving team delivering enterprise AI solutions.

Qualifications

• Hands-on experience building production-grade LLM applications, autonomous agents, and tool integration layers.
• Practical knowledge of ML frameworks (PyTorch, Hugging Face) and parameter-efficient fine-tuning techniques.
• Experience with cloud-native deployments and vector databases for scalable AI systems.

Responsibilities

• Design Agentic AI workflows enabling autonomous task execution through enterprise APIs.
• Oversee model training and fine-tuning pipelines, including dataset curation and LoRA/QLoRA methods.
• Architect scalable RAG pipelines with vector databases for accurate context retrieval.

Skills

GenAI

LLM apps

Agent orchestration

Tool integration

Tools

PyTorch

Hugging Face

LangGraph

CrewAI

MCP

Pinecone

Qdrant

AWS

Azure

Job description

Grid Dynamics is seeking an AI architect to design and implement end-to-end AI systems, combining training of models with integration of Agentic tools for autonomous operations.

You will lead multi-agent orchestration, model customization, and scalable RAG pipelines, leveraging PyTorch, Hugging Face, and vector databases on cloud platforms. Join a fast-moving team delivering enterprise AI solutions.