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Senior AI Architect (2026 Horizon Initiative)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the 2026 Horizon Initiative, a groundbreaking research and development program focused on the convergence of Generative AI and Quantum computing. At Nexus Future Systems, we are not just building software; we are architecting the fundamental logic of the future. You will be responsible for defining the architectural framework that enables our next-generation AI models to operate with unprecedented efficiency and scalability.

Why Join Us?
This is an elite opportunity to work at the intersection of theory and application. You will have the autonomy to shape the roadmap, mentor top-tier engineering talent, and directly influence the trajectory of AI technology in the year 2026 and beyond.

Responsibilities

  • Architectural Leadership: Design and implement robust, scalable, and secure AI architectures for large-scale distributed systems.
  • Quantum Integration: Spearhead the integration of quantum computing principles into classical machine learning pipelines to solve complex optimization problems.
  • Roadmap Strategy: Define the technical roadmap for the 2026 Horizon Initiative, ensuring alignment with business goals and cutting-edge research trends.
  • Model Optimization: Research and implement state-of-the-art techniques for model compression, quantization, and hardware acceleration.
  • Mentorship: Guide a team of senior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Prototyping: Build rapid prototypes to validate novel algorithms and technologies before full-scale deployment.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on Artificial Intelligence.
  • Experience: 8+ years of professional experience in AI/ML engineering, with at least 3 years in a senior leadership or architect role.
  • Technical Skills: Deep expertise in Python, C++, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Quantum Knowledge: Familiarity with quantum computing concepts (Qiskit, Cirq) is a strong plus.
  • Problem Solving: Proven track record of solving complex, high-stakes technical problems in ambiguous environments.
  • Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Distributed Systems Quantum Computing Machine Learning Architecture C++ Kubernetes Cloud Computing

Ready to Take This Challenge?

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