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Lead AI Architect - Future Tech (2026 Roadmap)

Nova Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the technology landscape of 2026?

Nova Horizon Systems is pioneering the next generation of autonomous decision-making. As a Lead AI Architect, you will not just build models; you will architect the future. We are looking for a visionary engineer to lead our 2026 Initiative, focusing on scalable, ethical, and high-performance artificial intelligence systems.

Join a team where your work directly impacts global infrastructure. We offer competitive equity, top-tier healthcare, and a remote-first culture that values innovation over bureaucracy.

Responsibilities

  • Lead Architectural Vision: Define the technical roadmap for our 2026 products, ensuring scalability and robustness for next-gen AI deployment.
  • R&D Leadership: Spearhead research into cutting-edge machine learning paradigms, including Large Language Models (LLMs) and neural-symbolic integration.
  • System Optimization: Oversee the engineering lifecycle from prototype to production, optimizing inference speeds and reducing latency by 40%.
  • Team Mentorship: Cultivate a high-performance engineering culture, mentoring junior data scientists and senior engineers alike.
  • Cross-Functional Collaboration: Partner with product managers and security experts to ensure ethical AI implementation and data privacy compliance.
  • Technical Strategy: Evaluate and integrate emerging technologies (e.g., quantum-ready algorithms) to stay ahead of industry trends.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: 8+ years of experience in software engineering and 5+ years specifically in AI/ML architecture.
  • Technical Stack: Deep expertise in Python, PyTorch/TensorFlow, and distributed systems (Kubernetes, Docker).
  • Strategic Mindset: Proven track record of leading large-scale technical projects from conception to launch.
  • Communication: Exceptional ability to translate complex technical concepts into strategic business value for stakeholders.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems in high-pressure environments.

Required Skills

Python PyTorch TensorFlow Kubernetes Docker AWS Machine Learning Deep Learning System Design Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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