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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect: Future Tech & AI Evolution

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Welcome to the vanguard of technological advancement. Nexus Horizon Labs is seeking a visionary Lead Architect: Future Tech & AI Evolution to design the infrastructure that will define the year 2026 and beyond. If you are obsessed with pushing the boundaries of what's possible with Generative AI, Quantum-ready systems, and Neural Interfaces, we want to meet you.


As a critical member of our Core R&D team, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will not just build software; you will architect the very fabric of our digital future.

Responsibilities

  • Architect the Future: Define and execute the long-term technical roadmap, focusing on emerging technologies expected to mature by 2026, including advanced LLMs and edge computing.
  • Lead Engineering Excellence: Mentor senior engineering teams and establish architectural standards that ensure scalability, security, and performance at a global scale.
  • Innovate with AI: Design systems that integrate generative AI agents into core workflows, optimizing for efficiency and reduced hallucination rates.
  • Evaluate Emerging Tech: Continuously research and prototype new technologies (Web3, Spatial Computing, Quantum algorithms) to determine their viability for our product suite.
  • System Integration: Oversee the seamless integration of complex data pipelines and real-time neural network feedback loops.

Qualifications

  • Experience: 10+ years of software engineering with at least 5 years in a Lead Architect or Principal Engineer role.
  • Technical Mastery: Deep expertise in Python, Rust, or Go, with proven experience building high-concurrency distributed systems.
  • AI/ML Proficiency: Strong understanding of Large Language Models (LLMs), fine-tuning methodologies, and transformer architectures.
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Problem Solving: Demonstrated ability to solve ambiguous, high-stakes technical problems with innovative solutions.

Required Skills

Python Rust Go System Architecture Machine Learning Distributed Systems AWS Kubernetes Generative AI LLMs

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