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Lead AI Architect - Project 2026

Future 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Join the Architects of Tomorrow.

We are looking for a visionary Lead AI Architect to spearhead Project 2026. In this pivotal role, you will design the next generation of intelligent systems that will define the technological landscape of the coming decade. If you thrive in high-pressure environments and are passionate about pushing the boundaries of what is possible in Artificial Intelligence, this is your opportunity to build the future.

Why Join Us?

  • Work on a mission-critical initiative focused on the year 2026 and beyond.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a hub in San Francisco.
  • Access to cutting-edge hardware and R&D resources.

Responsibilities

  • Define the AI Roadmap: Architect and implement the core machine learning infrastructure for Project 2026, ensuring scalability, security, and high performance.
  • R&D Leadership: Lead a team of data scientists and engineers in researching and deploying novel algorithms to solve complex, futuristic problems.
  • System Integration: Oversee the seamless integration of AI models into existing and future software ecosystems, ensuring interoperability.
  • Strategic Collaboration: Partner with product managers and stakeholders to translate technical requirements into actionable development strategies.
  • Code Review & Mentorship: Maintain high code quality standards and mentor junior engineers, fostering a culture of continuous learning and innovation.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, AWS/GCP).
  • Strategic Vision: Demonstrated ability to think long-term and architect systems that are future-proof and adaptable to evolving tech landscapes.
  • Communication: Exceptional verbal and written communication skills, capable of presenting complex technical concepts to non-technical audiences.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture Kubernetes AWS System Design Leadership R&D

Ready to Take This Challenge?

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