Remote Work || Job opportunity Gen AI Architect

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Global Applications Solutions

Global Applications Solutions

- Contract

🌎 Remote

Posted on: 3 June, 2025

Remote Work || Job opportunity Gen AI Architect

We are excited to share with you the job description for the Gen AI Architect position at Global Applications. Based on your background and experience, we believe this could be a great opportunity for you.

Job Title: Gen AI Architect Location: Remote (U.S. Based) Employment Type: W2 Only

Job Overview:

We are seeking a highly skilled Gen AI Architect with deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, and GPU-accelerated AI solutions. This role is a key contributor to designing and implementing generative AI solutions that will drive innovation and automation at scale for a leading client in the aerospace domain.

Key Responsibilities:

  • Design and architect scalable GenAI solutions leveraging LLMs and RAG techniques.
  • Develop and optimize AI/ML pipelines for training and inference on GPU-based infrastructure.
  • Collaborate with data scientists, machine learning engineers, and product teams to integrate GenAI capabilities into enterprise-grade applications.
  • Evaluate and recommend LLMs (open-source or proprietary) based on use case requirements.
  • Ensure AI solutions meet performance, scalability, and security standards.
  • Stay abreast of advancements in generative AI and propose innovative use cases and solutions.

Required Skills & Qualifications:

  • Strong experience with LLMs (e.g., OpenAI, LLaMA, Falcon, Mistral, Claude, or similar).
  • Expertise in RAG architecture, including vector databases (e.g., FAISS, Pinecone, Weaviate, or similar).
  • Deep understanding of GPU architectures (e.g., NVIDIA CUDA, TensorRT) for AI workloads.
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Experience deploying models using containerization and orchestration tools (Docker, Kubernetes).
  • Strong knowledge of AI/ML system design, MLOps, and model evaluation techniques.
  • Excellent communication and documentation skills.

Tags:
ai
ml
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