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Lead AI Architect - 2026 Horizon Initiative

Apex Neural Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead our 2026 Horizon Initiative. In this pivotal role, you will architect scalable machine learning systems designed to redefine industry standards for the next decade. You will work at the intersection of deep learning, generative AI, and real-time data processing to build the infrastructure that powers the future. Join us to build the intelligent core of tomorrow's enterprise solutions.

Why Join Us?
We are a cutting-edge technology firm pushing the boundaries of what is possible with Artificial Intelligence. Our 2026 roadmap focuses on creating autonomous systems that require minimal human intervention while maximizing operational efficiency and ethical standards.

Responsibilities

  • Design and deploy robust AI infrastructure aligned with the 2026 strategic roadmap.
  • Lead a team of ML engineers in building production-grade Large Language Models (LLMs) and neural networks.
  • Conduct research into cutting-edge algorithms, including Transformers and Diffusion models.
  • Collaborate with cross-functional product teams to define AI-driven feature sets and user experiences.
  • Optimize model inference latency and accuracy to ensure real-time performance.
  • Establish MLOps best practices and governance frameworks for data security and privacy.
  • Mentor junior engineers and conduct technical architecture reviews.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering and software architecture.
  • Strong proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Deep understanding of distributed systems, cloud computing (AWS, GCP, or Azure), and containerization (Docker/Kubernetes).
  • Experience with MLOps tools such as MLflow, Kubeflow, or Vertex AI.
  • Proven track record of leading cross-functional engineering teams in high-growth environments.
  • Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning AI Architecture PyTorch TensorFlow MLOps Cloud Computing Distributed Systems Leadership

Ready to Take This Challenge?

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