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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision | San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

The Opportunity: We are at the forefront of the technological singularity. Nexus Future Labs is seeking a visionary Senior AI Architect to spearhead the development of our flagship 2026 intelligent systems. In this pivotal role, you will architect the neural infrastructure that powers next-generation autonomous agents, ensuring scalability, security, and unprecedented performance.

Why Join Us?

As a leader in the AI sector, we offer a dynamic environment where innovation is not just encouraged but required. You will work with state-of-the-art hardware and collaborate with top-tier researchers to solve the hardest problems in artificial general intelligence.

Responsibilities

  • Architect & Design: Lead the end-to-end design of scalable AI infrastructure and neural network architectures for our 2026 product roadmap.
  • Model Optimization: Implement cutting-edge techniques to optimize model latency, throughput, and accuracy for real-time inference.
  • Roadmap Strategy: Define technical strategies and milestones for the 2026 generation of AI tools, ensuring alignment with business goals.
  • System Integration: Oversee the integration of large language models (LLMs) and generative AI into enterprise-level systems.
  • Mentorship: Lead and mentor a team of machine learning engineers and data scientists, fostering a culture of technical excellence.
  • Research & Dev: Stay ahead of the curve by researching emerging trends in AI, including quantum computing applications and neuromorphic engineering.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering and 5+ years specifically in AI/ML architecture.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Leadership: Proven track record of leading high-performing engineering teams and delivering complex systems.
  • Problem Solving: Exceptional ability to troubleshoot complex architectural challenges and optimize performance bottlenecks.
  • Communication: Ability to translate complex technical concepts into clear strategies for stakeholders.

Required Skills

Python TensorFlow PyTorch System Architecture Machine Learning Deep Learning Cloud Computing Leadership

Ready to Take This Challenge?

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

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