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Future AI Architect (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Future AI Architect to lead our R&D division. In this pivotal role, you will design the scalable, secure, and ethically sound AI systems that will define the technological landscape of 2026 and beyond. If you thrive in ambiguity and are passionate about pushing the boundaries of machine learning and distributed systems, Nexus Horizon is the place for you.

Why Join Us?
We are backed by top-tier VC firms and are committed to deploying AI solutions that have a tangible, positive impact on the world. You will work directly with our CTO and a team of elite engineers.

Responsibilities

  • Design Future-Proof Architectures: Lead the design and implementation of next-generation AI infrastructure capable of scaling to petabyte-scale data sets.
  • Emerging Tech Integration: Evaluate and integrate cutting-edge technologies (e.g., quantum computing interfaces, neuromorphic hardware) into our core pipeline.
  • Model Optimization: Oversee the training, fine-tuning, and deployment of large language models and computer vision systems to ensure low-latency performance.
  • Ethical AI Compliance: Establish and enforce rigorous governance frameworks to ensure algorithmic fairness, transparency, and bias mitigation.
  • Cross-Functional Leadership: Collaborate with product managers, data scientists, and security experts to translate technical requirements into robust product features.
  • R&D Strategy: Conduct deep-dive research into novel algorithms and publish findings to maintain our leadership in the industry.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years in a lead architecture role within the AI/ML space.
  • Technical Stack: Deep expertise in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX. Experience with cloud platforms (AWS/Azure/GCP) is required.
  • System Design: Proven track record of designing high-availability, fault-tolerant distributed systems.
  • Problem Solving: Exceptional ability to deconstruct complex problems and devise innovative, scalable solutions.
  • Communication: Superior written and verbal communication skills, capable of articulating complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning System Design Cloud Architecture TensorFlow PyTorch AWS Distributed Systems Artificial Intelligence Software Engineering

Ready to Take This Challenge?

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