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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Horizon Initiative

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are building the future. Nexus Future Systems is seeking a visionary Lead AI Architect to join our elite 2026 Horizon Initiative. As the landscape of artificial intelligence evolves at an unprecedented pace, we need a technical mastermind to design scalable, ethical, and groundbreaking neural architectures that will define the next decade of human-computer interaction.

In this role, you will not just write code; you will architect the very fabric of our next-generation AI ecosystem. You will bridge the gap between theoretical research and practical deployment, ensuring our solutions are robust, secure, and capable of handling the complexities of the 2026 technological landscape.

Why Join Us?

  • Work on cutting-edge AI projects that have a global impact.
  • Competitive equity package and top-tier health benefits.
  • Flexible remote-first culture with access to our state-of-the-art San Francisco HQ.

Responsibilities

  • Architect and lead the development of scalable, high-performance Machine Learning and Deep Learning infrastructure.
  • Design proprietary neural network architectures tailored for Generative AI and Natural Language Processing tasks.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical roadmaps.
  • Ensure the security, compliance, and scalability of all deployed AI models.
  • Stay ahead of industry trends to integrate emerging technologies (e.g., Quantum Computing implications) into our stack.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 6+ years of professional experience in Software Engineering and AI architecture.
  • Proven expertise in Python, PyTorch, TensorFlow, or JAX.
  • Strong background in Large Language Models (LLMs) and RAG architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Generative AI Cloud Computing Docker Kubernetes AWS GCP Agile System Design

Ready to Take This Challenge?

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