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Lead AI Architect: 2026 Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

About Nexus Future Systems
We are a next-generation technology firm pioneering the next evolution of human-machine collaboration. As we accelerate our timeline towards the 2026 launch of our flagship autonomous intelligence platform, we are looking for a visionary Lead AI Architect to design the neural architectures that will power the future.


The Role
You will be at the helm of our R&D division, responsible for defining the technical roadmap and architectural principles for our AI systems. This is not a standard engineering role; it is a strategic leadership position requiring deep technical expertise and the ability to anticipate the technological landscape of 2026 and beyond.


Why Join Us?
β€’ Impact: Shape the core intelligence of a platform that will serve millions.
β€’ Innovation: Work with cutting-edge tech in a fully remote-first, high-performance environment.
β€’ Equity: Significant stake in the company's success as we approach our Series B.

Responsibilities

  • Design and implement scalable, high-performance neural network architectures for our core autonomous agents.
  • Define the long-term technical strategy and roadmap for our AI initiatives leading up to the 2026 release.
  • Lead a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
  • Evaluate and integrate emerging technologies (e.g., AGI, Quantum Computing interfaces) to maintain a competitive edge.
  • Ensure ethical AI governance and safety protocols are embedded in system design.
  • Collaborate with product and executive leadership to translate business goals into technical specifications.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in machine learning, deep learning, and software architecture.
  • Proven track record of leading engineering teams and delivering complex systems on time.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Strong understanding of Large Language Models (LLMs), Transformers, and Reinforcement Learning.
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Neural Networks Python PyTorch System Architecture AGI Distributed Systems

Ready to Take This Challenge?

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