Senior Generative AI Architect — Multi-Cloud, RAG & Agents

Grid Dynamics

Wrocław

On-site

PLN 240,000 - 420,000

Full time

2 days ago
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Benefits offered by this job

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Job summary

Grid Dynamics is seeking a hands-on AI Architect to design, build and deploy enterprise-grade Generative AI systems for Fortune 500 transformations. You will bridge AI research and production software, leading the technical strategy while personally building multi-agent systems, RAG architectures and AI data pipelines on AWS and Azure.

You will architect and implement scalable AI solutions, write production Python code, and guide engineering teams on AI engineering, MLOps, and cloud

Qualifications

  • Bachelor’s or Master’s degree in CS/DS/AI or related field.
  • Strong Python expertise with AI/ML libraries and API development.
  • Experience deploying AI/ML solutions on Azure and AWS.
  • Hands-on experience building autonomous multi-agent workflows.

Responsibilities

  • Architect and implement robust Generative AI solutions, including production-grade RAG architectures and multi-agent systems.
  • Write production-quality Python code, build prototypes and contribute to the core codebase alongside engineering teams.
  • Architect AI workloads across AWS and Microsoft Azure, selecting services for each solution.
  • Design data architectures for LLM pipelines with Databricks and Snowflake.
  • Select, fine-tune, deploy and optimise open-source and proprietary LLMs.
  • Guide engineering teams on AI engineering, MLOps, LLMOps and cloud infrastructure choices.

Skills

Python
Asynchronous programming
API development
Agent frameworks

Education

Bachelor's or Master’s in CS/DS/AI

Tools

AWS Bedrock
SageMaker
Azure OpenAI Service
Azure Machine Learning
Databricks
Snowflake
OpenAI Agents SDK
Pydantic AI

Job description

Grid Dynamics is seeking a hands-on AI Architect to design, build and deploy enterprise-grade Generative AI systems for Fortune 500 transformations. You will bridge AI research and production software, leading the technical strategy while personally building multi-agent systems, RAG architectures and AI data pipelines on AWS and Azure.

You will architect and implement scalable AI solutions, write production Python code, and guide engineering teams on AI engineering, MLOps, and cloud

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