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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2025 Focus)

Apex Future Tech
San Francisco
Estimated Salary
USD 175.000 – USD 230.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Apex Future Tech is seeking a visionary Senior AI Architect to lead our breakthrough initiatives targeting the 2025 landscape. As we push the boundaries of Generative AI and Large Language Models, you will be the mastermind behind our scalable infrastructure and cutting-edge algorithms.

In this role, you won't just build models; you will define the architectural standards for the next generation of enterprise AI solutions. If you are passionate about solving complex problems and shaping the technological horizon, this is your opportunity to lead.

Responsibilities

  • Design and deploy scalable machine learning pipelines and infrastructure on AWS and Azure.
  • Lead the architecture of Generative AI models, including fine-tuning and RAG (Retrieval-Augmented Generation) systems.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize model performance, latency, and cost efficiency at scale.
  • Establish best practices for MLOps, including CI/CD for machine learning models.
  • Stay ahead of industry trends, particularly in LLMs and ethical AI deployment.

Qualifications

  • 5+ years of experience in AI/ML engineering, with at least 2 years in a lead or architect role.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of NLP, transformer architectures, and deep learning principles.
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
  • Master's degree in Computer Science, AI, or a related technical field is preferred.

Required Skills

Python PyTorch TensorFlow AWS Azure Kubernetes Docker NLP Machine Learning MLOps Generative AI

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