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Information Technology 🏒 Full Time ⭐️ Verified

Future AI Systems Architect: 2026 Horizon

Nexus Dynamics Corp
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027



Job Description

We are on the cusp of a technological singularity, and Nexus Dynamics Corp is leading the charge into the year 2026. We are seeking a visionary Future AI Systems Architect to design the foundational intelligence layer of our next-generation operating system. In this role, you will bridge the gap between theoretical quantum computing and practical deep learning architectures, ensuring our platforms remain ahead of the curve in the rapidly evolving AI landscape.

If you possess an obsession with scalability, ethics, and the future of machine consciousness, this is your opportunity to build the infrastructure of tomorrow.

Responsibilities

  • Architect and deploy scalable neural network infrastructures capable of processing real-time quantum data streams.
  • Lead the integration of Generative AI models into legacy enterprise ecosystems, ensuring seamless interoperability by 2026.
  • Define and enforce architectural guidelines for AI safety, bias mitigation, and ethical deployment.
  • Collaborate with cross-functional teams to prototype and validate next-gen cognitive interfaces.
  • Optimize model latency and resource efficiency for edge computing environments.
  • Conduct rigorous stress testing on AI decision-making frameworks to predict and mitigate systemic risks.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field; Ph.D. preferred.
  • Proven experience (7+ years) designing complex distributed systems and large-scale machine learning pipelines.
  • Expert proficiency in Python, TensorFlow, PyTorch, and Rust.
  • Strong understanding of Quantum Machine Learning (QML) concepts and hybrid classical-quantum architectures.
  • Demonstrated ability to lead technical teams and communicate complex concepts to executive stakeholders.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Kubernetes, Docker).

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Quantum Computing System Architecture Cloud Computing Deep Learning Ethics in AI

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