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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect (2026 Horizon)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the forefront of technological evolution, and we are looking for a visionary Lead AI Architect (2026 Horizon) to help us define the future of intelligent systems. In this pivotal role, you will not just build AI models; you will architect the infrastructure that will power the next generation of human-machine interaction. Join us in shaping the technological landscape of 2026 and beyond.

Why Join Us?

  • Work on cutting-edge projects that define industry standards.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a hub in San Francisco.
  • Access to the latest quantum computing resources and LLMs.

What You Will Do:

  • Design and implement scalable, high-performance AI architectures aligned with the 2026 vision.
  • Lead a team of machine learning engineers and data scientists in pushing the boundaries of generative AI.
  • Define technical roadmaps for integrating emerging technologies into our core products.
  • Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
  • Mentor junior staff and establish best practices for AI ethics and safety.
  • Conduct research on novel algorithms to improve model accuracy and efficiency.

Qualifications:

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in deep learning frameworks (TensorFlow, PyTorch, JAX).
  • Strong proficiency in Python, C++, and distributed systems.
  • Proven track record of deploying large-scale AI models in production environments.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Familiarity with AI governance, bias mitigation, and regulatory compliance.

Responsibilities

  • Architect scalable AI infrastructure for the 2026 roadmap.
  • Lead a high-performance engineering team.
  • Define technical strategy and best practices.
  • Collaborate with product and business teams.
  • Conduct research on advanced algorithms.
  • Mentor and develop engineering talent.

Qualifications

  • PhD or Master’s in Computer Science or AI.
  • 10+ years of experience in ML/AI engineering.
  • Expertise in TensorFlow, PyTorch, and Python.
  • Experience with distributed systems.
  • Strong problem-solving and communication skills.
  • Understanding of AI ethics and compliance.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python TensorFlow PyTorch Distributed Systems System Architecture NLP Computer Vision Quantum Computing Cloud Computing AWS Google Cloud

Ready to Take This Challenge?

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