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Information Technology 🏒 Full Time ⭐️ Verified

AI & Future Tech Lead Engineer

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary AI & Future Tech Lead Engineer to spearhead our roadmap for 2026. As we stand on the precipice of the next technological revolution, you will be responsible for architecting systems that integrate advanced Machine Learning, Quantum computing, and Ethical AI frameworks.

At Nexus Horizon, we don't just predict the future; we engineer it. You will work in a high-performance environment that prioritizes innovation, scalability, and ethical responsibility.

Responsibilities

  • Architect Next-Gen Systems: Design and deploy scalable AI infrastructure capable of handling petabyte-scale data streams and quantum integration.
  • Lead R&D Initiatives: Drive research and development projects focused on Generative AI and autonomous decision-making agents.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex technical concepts into actionable business strategies.
  • Code Review & Mentorship: Establish high engineering standards and mentor junior developers to foster a culture of excellence.
  • Ethical AI Implementation: Ensure all AI models adhere to strict ethical guidelines and regulatory standards.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 3 years in a lead or architect role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with Quantum computing libraries (e.g., Qiskit).
  • System Design: Strong background in distributed systems, cloud architecture (AWS/Azure/GCP), and microservices.
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical ideas to non-technical stakeholders.

Required Skills

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

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