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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Future Systems

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are pioneering the technological frontier for the Year 2026 and beyond. Nexus Horizon Labs is seeking a visionary Senior AI Architect to design the next generation of autonomous systems and generative intelligence platforms. You will not just build algorithms; you will architect the intelligence layer that powers our global ecosystem. Join a team of elite engineers and data scientists dedicated to solving humanity's most complex challenges through advanced artificial intelligence.

Why Join Us?

  • Impactful Work: Directly influence the roadmap for our flagship 2026 product suite.
  • Elite Environment: Work with cutting-edge hardware and proprietary quantum-enhanced computing clusters.
  • Competitive Compensation: Top-tier salary, equity, and benefits for top-tier talent.

Responsibilities

  • Lead the architectural design and implementation of scalable Machine Learning and Deep Learning infrastructure.
  • Define the technical vision for our 2026 AI roadmaps, ensuring alignment with business objectives.
  • Optimize large-scale neural networks for latency, throughput, and energy efficiency.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate complex requirements into robust technical solutions.
  • Establish best practices for model deployment, monitoring, and MLOps pipelines.
  • Research and prototype emerging AI paradigms, including LLM fine-tuning and reinforcement learning.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of professional experience in software engineering and AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying production-grade AI systems handling petabyte-scale data.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Cloud Architecture MLOps AWS Docker Kubernetes

Ready to Take This Challenge?

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