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Senior AI Architect - 2025 Vision

Apex Future Systems
Seattle
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Apex Future Systems is pioneering the next generation of intelligent infrastructure. We are looking for a visionary Senior AI Architect to lead our research and development initiatives for our 2025 product roadmap. If you are passionate about pushing the boundaries of Generative AI and Large Language Models, this is your opportunity to shape the future of technology.

As a key member of our technical leadership team, you will bridge the gap between theoretical research and scalable production systems. We offer a competitive compensation package, equity options, and a collaborative culture that rewards innovation.

Responsibilities

  • Architect and deploy scalable machine learning models and AI infrastructure pipelines.
  • Lead the design of proprietary algorithms for natural language processing and computer vision.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers.
  • Optimize model performance, latency, and cost-efficiency in cloud environments.
  • Stay at the forefront of AI research and integrate cutting-edge methodologies into our stack.
  • Mentor junior engineers and establish best practices for MLOps and model governance.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying LLMs or transformer models in production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field is preferred.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse audiences.

Required Skills

Python Machine Learning AI NLP Deep Learning PyTorch TensorFlow AWS Kubernetes MLOps Distributed Systems

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