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AI Architect

xLoop

Senior 🇬🇧 English
Python LLM ecosystems AWS Azure GCP Orchestration frameworks APIs Scalable distributed systems MLOps CI/CD Model monitoring AI governance

Job description

About the role

We are looking for a senior AI Architect to lead the design and delivery of enterprise‑scale AI solutions. You will shape the end‑to‑end AI architecture, ensuring it aligns with business strategy and meets the highest standards of scalability, security, and reliability.

Key responsibilities

  • Define and own the end‑to‑end AI architecture for enterprise applications.
  • Design scalable solutions using large language models (LLMs), Retrieval‑Augmented Generation (RAG), ML/DL models, vector databases, and cloud AI services.
  • Lead AI platform initiatives, MLOps pipelines, model governance, and deployment strategies.
  • Collaborate with engineering, data, security, and business stakeholders to deliver high‑impact AI products.
  • Establish best practices for performance, reliability, security, and responsible AI.

Required profile

  • 8+ years of software or data engineering experience, including 3+ years in AI architecture.
  • Proven leadership, communication, and stakeholder‑management abilities.
  • Track record of delivering enterprise generative AI products in production.
  • Knowledge of agentic AI, multi‑model architectures, and AI security/compliance.

Required skills

  • Python
  • Machine‑learning frameworks (e.g., TensorFlow, PyTorch)
  • LLM ecosystems
  • Cloud platforms: AWS, Azure, GCP
  • Retrieval‑Augmented Generation (RAG), fine‑tuning, orchestration frameworks, APIs
  • Scalable distributed systems
  • MLOps, CI/CD, model monitoring, AI governance

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Published 1 month ago

Expires 2 weeks from now

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