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Senior AI Architect: Shaping the 2026 AI Landscape

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to define the future of intelligence?

Nexus Horizon Labs is pioneering the next generation of Artificial General Intelligence (AGI). We are looking for a visionary Senior AI Architect to lead our R&D efforts in the 2026 roadmap. If you are passionate about pushing the boundaries of neural networks, ethical AI, and scalable systems, this is your chance to build the infrastructure for tomorrow.

As a key leader in our 2026 initiative, you will bridge the gap between theoretical research and production-grade deployment, ensuring our AI systems are not only powerful but also safe, scalable, and transformative.

Responsibilities

  • Architect and Lead: Design the core architecture for next-generation Large Language Models (LLMs) and multimodal systems focused on the 2026 market landscape.
  • R&D Leadership: Spearhead research initiatives in generative AI, reinforcement learning, and automated reasoning to achieve human-level performance.
  • System Optimization: Optimize inference latency and training throughput across distributed GPU clusters to ensure real-time application capabilities.
  • Ethical AI Governance: Implement robust safety protocols, bias mitigation strategies, and transparency frameworks in all AI deployments.
  • Team Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
  • Strategic Roadmapping: Collaborate with product teams to translate complex technical requirements into actionable 2026 development milestones.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Experience: 7+ years of professional experience in machine learning, deep learning, or software engineering, with at least 3 years in a senior or lead technical role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX; experience with distributed training frameworks (Ray, Horovod).
  • Specialization: Proven track record in NLP, Computer Vision, or Reinforcement Learning with publications in top-tier conferences (NeurIPS, ICML, ACL).
  • System Design: Strong understanding of cloud infrastructure (AWS/Azure/GCP) and high-performance computing environments.
  • Soft Skills: Exceptional communication skills, ability to articulate complex technical concepts to non-technical stakeholders, and a passion for solving unsolved problems.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Distributed Systems Cloud Computing AI Ethics CUDA AWS

Ready to Take This Challenge?

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