Ai Architect

Grid Dynamics; Vila Real; Presencial; EUR 90 000 - 150 000; Tempo integral

Resumo da oferta

Grid Dynamics seeks an AI Architect to design, build, and deploy enterprise-grade AI production systems. You will bridge AI research with scalable software, leading multi-cloud deployments and robust data pipelines.

Responsibilities include architecting RAG solutions, deploying LLMs, and guiding teams on MLOps and cloud infrastructure choices. Strong Python, data platform, and архитектural skills are essential.

Qualificações

• Hands-on Python expertise with AI/ML libraries and API development.
• Multi-cloud proficiency on Azure and AWS (SageMaker, Bedrock).
• Experience with OpenAI Agents SDK, Pydantic and similar.
• Expertise in Databricks and Snowflake for AI training/inference.
• Proven track record with advanced RAG architectures.

Responsabilidades

• Architect, implement scalable, secure Generative AI solutions including RAG architectures.
• Design AI workloads on cloud infrastructure (AWS and Azure).
• Design data architectures and feed LLM pipelines with enterprise data.
• Write production-quality Python code and contribute to core codebase.
• Select, fine-tune, deploy LLMs and optimize performance.
• Provide technical leadership on AI engineering, MLOps, and cloud choices.

Conhecimentos

Python programming

Cloud architecture

LLM/AI engineering

MLOps

OpenAI Agents SDK

Ferramentas

Databricks

Snowflake

Azure OpenAI

SageMaker

Bedrock

Descrição da oferta de emprego

We are looking for a visionary and hands-on AI Architect to design, build, and deploy enterprise-grade AI production systems. In this role, you will bridge the gap between complex AI research and scalable, production-ready enterprise software.

Responsibilities

• Architect & Implement: Design and implement robust, scalable, and secure Generative AI solutions, including production-grade RAG architectures and multi-agent systems.
• Cloud Infrastructure Management: Architect AI workloads on cloud infrastructure, leveraging both AWS and Microsoft Azure services seamlessly.
• Data Strategy & Engineering: Design and optimize data architectures tailored for AI, integrating enterprise data platforms to feed LLM pipelines.
• Hands-on Development: Write production-quality Python code, build prototypes, and actively contribute to the core codebase alongside engineering teams.
• Model Deployment & Optimization: Select, fine-tune, optimize, and deploy open-source and proprietary Large Language Models (LLMs) effectively.
• Technical Leadership: Guide engineering teams on best practices for AI engineering, MLOps, LLMOps, and cloud infrastructure selection.

Qualifications

• Hands-on Python Expertise: Exceptional programming skills in Python, including deep familiarity with AI/ML libraries, asynchronous programming, and API development.
• Multi-Cloud Proficiency: Proven experience architecting and deploying AI solutions on both Microsoft Azure and AWS (e.g., AWS Bedrock, SageMaker, Azure OpenAI Service, Azure Machine Learning).
• Agentic Frameworks: Hands-on experience building autonomous workflows using advanced multi-agent orchestrators, specifically the OpenAI Agents SDK, Pydantic and similar.
• Enterprise Data Platforms: Deep technical expertise in integrating, querying, and managing data specifically within Databricks and Snowflake for AI training and inference context.
• Advanced RAG Architectures: Proven track record of designing and deploying sophisticated Retrieval-Augmented Generation systems, including experience with vector databases, advanced chunking strategies, hybrid search, and reranking mechanisms.

Nice-to-Have

• Conversational AI: Experience building, deploying, and optimizing enterprise chatbots and virtual assistants is a major plus.
• Open-Source LLM Deployment: Experience serving and optimizing open-source models (e.g., Llama, Mistral) using frameworks like vLLM, Hugging Face TGI, or Ollama.
• Experience with Temporal: Experience creating long running durable AI agents using Temporal will be a major plus

About Us

Grid Dynamics is a leading provider of technology consulting, agile co-creation, and scalable engineering services for Fortune 500 enterprises undergoing digital transformation. We combine business acumen with cutting-edge engineering to help enterprises deploy AI at scale, modernize core platforms, and implement next-generation cloud architectures.