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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

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

Job Description

We are at the precipice of a technological renaissance. As we look toward 2026, the definition of Artificial Intelligence is shifting from automation to true autonomy. Nexus Future Labs is seeking a visionary Senior AI Architect to lead our charge in defining the infrastructure of tomorrow.

In this pivotal role, you won't just be maintaining existing systems; you will be architecting the foundational layers of Artificial General Intelligence (AGI) and next-generation neural networks. You will work with cutting-edge research teams to bridge the gap between theoretical breakthroughs and scalable production systems. If you are driven by the challenge of solving unsolved problems and shaping the digital landscape of the future, this is your opportunity.

Why Join Us?

  • Work on projects that define the industry standard for 2026 and beyond.
  • Competitive equity package and top-tier benefits.
  • Access to the world's most advanced compute resources.

Responsibilities

  • Design and deploy scalable, fault-tolerant AI infrastructure capable of handling exascale data processing.
  • Lead the architectural vision for Autonomous Agent Systems and generative models.
  • Collaborate with quantum computing researchers to integrate hybrid classical/quantum algorithms.
  • Optimize deep learning models for low-latency inference in real-time environments.
  • Mentor a team of brilliant engineers and data scientists to foster a culture of innovation.
  • Define the technical roadmap for machine learning platforms, ensuring alignment with 2026 business goals.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 10+ years of experience in software engineering with a strong focus on AI/ML systems architecture.
  • Expert proficiency in Python, C++, and GPU programming (CUDA, OpenCL).
  • Proven experience deploying Large Language Models (LLMs) at scale, including fine-tuning and RAG pipelines.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Kubernetes/Docker).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Neural Networks TensorFlow PyTorch Cloud Architecture Kubernetes Distributed Systems Deep Learning CUDA

Ready to Take This Challenge?

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