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Senior AI Architect: 2026 Strategy - San Francisco, CA

Nexus AI Labs
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

About Nexus AI Labs:

We are at the forefront of the 2026 AI Renaissance, building the autonomous systems that will define the next decade. We are seeking a visionary Senior AI Architect to lead our engineering division in architecting the next generation of Agentic AI and Neural Operating Systems.

In this pivotal role, you won't just optimize models; you will design the infrastructure for tomorrow. If you are passionate about the trajectory of Artificial General Intelligence (AGI) and want to leave a legacy in the AI landscape of 2026, we want to meet you.

Why Join Us?

  • Shape the future of autonomous intelligence.
  • Work with cutting-edge LLMs and Neural Architectures.
  • Competitive compensation and equity packages.

Responsibilities

  • Lead the architectural design and deployment of scalable Agentic AI systems targeting the 2026 market landscape.
  • Define the technical roadmap for transitioning from static models to dynamic, autonomous agents.
  • Optimize large-scale neural networks for low-latency inference and energy efficiency.
  • Collaborate with cross-functional teams to integrate AI solutions into complex enterprise ecosystems.
  • Establish best practices for AI safety, ethics, and alignment in future-proof systems.
  • Research and prototype novel architectures (e.g., Spiking Neural Networks, Hybrid Transformers) for the 2026 era.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in AI/ML engineering, with at least 2 years in a Lead Architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Proven track record of deploying production-grade LLMs and Generative AI applications.
  • Experience with distributed systems, cloud infrastructure (AWS/GCP/Azure), and Kubernetes.
  • Strong understanding of algorithmic bias, adversarial robustness, and AI safety protocols.
  • Exceptional communication skills with the ability to translate technical vision for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow LLMs Generative AI Kubernetes AWS Deep Learning System Architecture Machine Learning Engineering

Ready to Take This Challenge?

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