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Lead Architect: Generative AI & Future Systems

OmniFuture Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join the Vanguard of the AI Revolution.

OmniFuture Technologies is pioneering the infrastructure for the year 2026. We are seeking a visionary Lead Architect: Generative AI & Future Systems to design scalable, self-evolving neural networks and define the next generation of human-machine interaction.

In this pivotal role, you won't just write code; you will architect the reality of the future. You will bridge the gap between theoretical quantum computing and practical AI deployment, ensuring our systems are resilient, ethical, and infinitely scalable.

Responsibilities

  • Architect Neural Evolution: Design and oversee the development of proprietary generative models capable of autonomous learning and adaptation.
  • Future-Proof Infrastructure: Build cloud-native architectures that seamlessly integrate quantum-ready algorithms and large-scale data lakes.
  • Strategic Roadmapping: Define the technical roadmap for 2026, identifying emerging tech trends like AGI (Artificial General Intelligence) and their integration points.
  • High-Performance Systems: Optimize distributed systems to handle petabyte-scale data processing with sub-millisecond latency.
  • Ethical AI Governance: Establish frameworks for algorithmic bias, transparency, and safety in autonomous decision-making systems.

Qualifications

  • Advanced Degree: PhD or Master’s degree in Computer Science, Mathematics, or a related field (focus on AI/ML).
  • Experience: 8+ years of experience in software architecture, with at least 4 years leading teams in AI/ML infrastructure.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems design (Kubernetes, Docker).
  • Quantum Computing Insight: Familiarity with quantum computing concepts and how they interface with classical AI systems.
  • Leadership: Proven track record of mentoring senior engineers and driving technical vision across cross-functional teams.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Cloud Computing Quantum Computing Deep Learning Distributed Systems

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