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2026 AI Systems Architect | San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

The Future of Intelligence Starts Here

Nexus Horizon is a pioneer in defining the autonomous landscape of tomorrow. We are not just building the AI of today; we are architecting the 2026 AI Systems that will redefine human-machine collaboration. As our 2026 AI Systems Architect, you will lead the charge in developing self-improving, agentic AI models capable of autonomous decision-making.

Join a team of elite engineers and futurists dedicated to solving the most complex challenges in artificial general intelligence and autonomous systems. If you are passionate about the intersection of ethics, scalability, and next-generation automation, this is your opportunity to shape the industry.

Responsibilities

  • Architect and deploy autonomous AI agents capable of complex, multi-step decision-making processes.
  • Lead the technical roadmap for the 2026 AI integration strategy across enterprise sectors.
  • Design and implement reinforcement learning frameworks to enhance agent autonomy and safety.
  • Collaborate with product and design teams to define the future of human-AI interaction.
  • Ensure rigorous ethical standards, bias mitigation, and compliance in all autonomous systems.
  • Optimize model latency, throughput, and cost-efficiency for global production environments.
  • Conduct rigorous testing of agentic workflows in high-fidelity simulation environments.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Deep expertise in Python, PyTorch, and modern LLM architectures (e.g., GPT, LLaMA).
  • Proven track record of deploying scalable AI solutions in production environments.
  • Strong experience with multi-agent systems and reinforcement learning algorithms.
  • Excellent understanding of AI ethics, safety protocols, and regulatory compliance.
  • Ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning LLMs PyTorch TensorFlow Natural Language Processing Generative AI Reinforcement Learning Autonomous Systems Cloud Computing

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