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Senior AI Architect at Nexus 2026 | San Francisco, CA

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the Architects of Tomorrow.

Nexus 2026 is pioneering the next generation of cognitive computing. We are not just building software; we are engineering the digital intelligence that will redefine human interaction with technology in 2026 and beyond. As a Senior AI Architect, you will lead the strategic design of our neural core, ensuring our platforms remain at the bleeding edge of artificial general intelligence.

You will work in a collaborative, high-performance environment where innovation is the only metric that matters. If you are passionate about shaping the future and possess the technical prowess to build scalable, ethical AI systems, we want to hear from you.

Responsibilities

  • Architect and deploy scalable, state-of-the-art machine learning models for core product features.
  • Lead the research and implementation of generative AI and predictive analytics systems.
  • Mentor junior engineers and architects, fostering a culture of technical excellence and continuous learning.
  • Collaborate with cross-functional teams including product managers, data scientists, and UX designers.
  • Ensure AI systems are robust, explainable, and compliant with global ethical standards.
  • Define technical roadmaps for AI infrastructure and optimize for low-latency, high-throughput environments.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • 10+ years of experience in software engineering with a focus on AI/ML.
  • Deep expertise in Python, TensorFlow, PyTorch, and MLOps tools.
  • Proven track record of designing systems that handle petabyte-scale data.
  • Experience with LLMs, Transformers, and Neural Architecture Search.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure).
  • Exceptional problem-solving skills and ability to thrive in a fast-paced, disruptive startup environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AI Architecture Cloud Computing MLOps Generative AI

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