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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Readiness

Nexus Horizon
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

The Future is Now. Are You Ready to Define It?

Nexus Horizon is pioneering the next generation of artificial intelligence, and we are seeking a visionary Senior AI Architect to spearhead our 2026 roadmap. In this pivotal role, you will design the architectural foundations for our next-generation LLMs and autonomous systems. If you are passionate about pushing the boundaries of what's possible in 2026 and beyond, we want to meet you.

Join a team of world-class engineers and researchers dedicated to building scalable, ethical, and transformative AI solutions.

Why Join Nexus Horizon?

  • Competitive compensation package (Salary + Equity).
  • Flexible remote-first policy with premium healthcare.
  • Access to the latest hardware and cloud infrastructure.
  • Clear path to leadership within a high-growth unicorn.

Responsibilities

  • Architecting the Future: Design and implement scalable machine learning pipelines and neural network architectures tailored for 2026 workloads.
  • Model Optimization: Lead the research and deployment of state-of-the-art Large Language Models (LLMs) ensuring low-latency inference and high accuracy.
  • Strategic Roadmap: Collaborate with product leadership to define the technical vision for our 2026 product suite.
  • System Scalability: Oversee the infrastructure ensuring our AI systems can handle billions of transactions securely and efficiently.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior architect role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep experience with MLOps and cloud platforms (AWS, GCP, or Azure).
  • Specialized Knowledge: Strong understanding of Deep Reinforcement Learning, NLP, and Generative AI models.
  • Problem Solving: Proven track record of solving complex, unstructured problems in high-scale environments.
  • Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow MLOps AWS GCP Architecture System Design

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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