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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: The 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

We are on the precipice of a technological revolution. At Nexus Future Systems, we are defining the roadmap for the year 2026 and beyond. We are seeking a visionary Lead AI Architect to lead our engineering team in building the next generation of autonomous, quantum-integrated artificial intelligence systems.

If you are passionate about pushing the boundaries of what is possible and want to shape the digital infrastructure of tomorrow, this is your opportunity to make history.

Responsibilities

  • Architect Next-Gen AI: Design scalable, fault-tolerant AI architectures capable of handling real-time quantum data streams and complex neural networks.
  • Strategic Roadmap: Define the technical vision for our 2026 product releases, ensuring alignment with emerging industry standards in AGI and neuromorphic computing.
  • Team Leadership: Mentor a high-performance engineering team, fostering a culture of innovation, continuous learning, and technical excellence.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and researchers to translate complex concepts into actionable engineering solutions.
  • Performance Optimization: Oversee the optimization of training pipelines and inference engines to maximize efficiency and reduce latency in edge computing environments.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 4 years in a Lead Architect or Senior Engineering role focusing on AI/ML.
  • Technical Proficiency: Deep expertise in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX. Familiarity with quantum computing libraries (Qiskit, Cirq) is highly desirable.
  • Problem Solving: Proven track record of solving complex, large-scale system problems and delivering high-impact technical solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

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

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