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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect: Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Labs as the lead architect for our revolutionary Project 2026. We are on the bleeding edge of the singularity, developing next-generation artificial general intelligence systems designed to solve humanity's most complex challenges. This is a rare opportunity to define the architecture of the future. If you are a visionary engineer who refuses to settle for 'good enough,' we want to hear from you.

We are looking for a Senior AI Architect who thrives in ambiguity and possesses the technical prowess to build scalable, resilient, and intelligent systems. You will be working alongside world-class researchers and engineers to push the boundaries of what is possible in 2026 and beyond.

Responsibilities

  • Architect System Design: Lead the end-to-end design and implementation of complex AI systems for Project 2026, ensuring high performance and scalability.
  • Research Integration: Bridge the gap between theoretical research and practical engineering, deploying cutting-edge algorithms into production environments.
  • Team Leadership: Mentor a team of talented engineers, fostering a culture of innovation, technical excellence, and continuous learning.
  • Technical Strategy: Define the technical roadmap for Project 2026, evaluating emerging technologies and making strategic architectural decisions.
  • Collaboration: Work closely with product managers, data scientists, and stakeholders to translate business requirements into technical specifications.
  • Optimization: Continuously monitor, optimize, and refine AI models to ensure they meet real-world performance benchmarks and ethical guidelines.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, Physics, or a related field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years in leading AI or Machine Learning architecture.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, AWS/GCP).
  • AI Mastery: Proven track record of designing and deploying Large Language Models (LLMs) or Generative AI systems.
  • Problem Solving: Exceptional ability to solve complex, unstructured problems and design robust system architectures.
  • Leadership: Demonstrated experience leading cross-functional teams and driving projects from concept to completion.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes System Design Machine Learning Deep Learning Distributed Systems

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