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Lead AI Architect - Project 2026

Nexus 2026 Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future?

Nexus 2026 Systems is revolutionizing the intersection of generative AI and quantum computing. We are seeking a visionary Lead AI Architect to spearhead the development of our flagship platform, Project 2026. If you thrive in high-stakes environments and love pushing the boundaries of what's possible with code, we want to meet you.

Why Join Us?

  • Work on cutting-edge technology that defines the next decade.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with quarterly in-person innovation labs.
  • Opportunity to mentor the next generation of tech leaders.

Responsibilities

  • Architect Scalable AI Systems: Design and implement robust, scalable machine learning pipelines for the Project 2026 infrastructure.
  • Technical Leadership: Guide a diverse team of data scientists and engineers, setting architectural standards and best practices.
  • Research Integration: Evaluate and integrate emerging AI research into production-grade applications to maintain a competitive edge.
  • Performance Optimization: Continuously optimize model latency and resource utilization to ensure real-time responsiveness.
  • Strategic Planning: Define the long-term technical roadmap for the 2026 launch cycle, aligning engineering goals with business objectives.
  • Collaboration: Partner with product managers and stakeholders to translate complex requirements into technical solutions.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: 7+ years of professional experience in software engineering, with at least 3 years in a leadership role within AI/ML.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems in novel ways.
  • Communication: Exceptional verbal and written communication skills, capable of articulating complex technical concepts to non-technical audiences.
  • Agile Mindset: Experience working in fast-paced Agile/Scrum environments.

Required Skills

Python TensorFlow PyTorch Machine Learning Artificial Intelligence Cloud Architecture Kubernetes Docker System Design

Ready to Take This Challenge?

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