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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Readiness Specialist

Nexus Core Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the future? Nexus Core Technologies is seeking a visionary Lead AI Architect to spearhead our 2026 Vision Initiative. We are building the next generation of autonomous systems designed specifically for the technological landscape of 2026 and beyond. This is a rare opportunity to define the roadmap for scalable, quantum-ready artificial intelligence.

Why Join Us?

We aren't just building software; we are engineering the infrastructure for tomorrow. You will work with a team of elite engineers pushing the boundaries of Generative AI, Predictive Modeling, and Edge Computing to ensure our clients are future-ready.

Responsibilities

  • Architect and deploy scalable machine learning pipelines designed to meet the extreme demands of 2026 workload environments.
  • Lead the research and integration of quantum computing protocols into classical AI workflows.
  • Mentor junior engineers and foster a culture of innovation, technical excellence, and forward-thinking.
  • Conduct feasibility studies on emerging technologies to ensure our stack remains years ahead of the curve.
  • Collaborate with cross-functional product teams to translate futuristic concepts into actionable software requirements.
  • Optimize data pipelines for real-time processing and high-velocity decision making.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related technical field.
  • Minimum of 8 years of experience in AI/ML engineering, with a proven track record of scaling models.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (e.g., Apache Spark).
  • Proven track record of implementing Large Language Models (LLMs) and Generative AI in production environments.
  • Experience with cloud infrastructure (AWS/GCP) and containerization (Kubernetes/Docker).
  • Strong understanding of ethical AI, bias mitigation, and regulatory compliance.

Required Skills

Python Machine Learning Deep Learning Kubernetes Cloud Architecture NLP Quantum Computing Generative AI System Design

Ready to Take This Challenge?

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

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