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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Roadmap

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future?

Nexus Horizon Labs is at the forefront of defining the technological landscape for 2026. We are seeking a visionary Lead AI Architect to spearhead our next-generation predictive systems and machine learning infrastructure. This is not just a job; it is an opportunity to build the foundation for the AI era we are rapidly approaching.

In this role, you will bridge the gap between theoretical research and scalable production systems, ensuring our platforms remain cutting-edge and resilient in the evolving digital ecosystem.

Responsibilities

  • Strategic Roadmapping: Define and execute the technical vision for AI systems targeted for deployment in the 2026 timeframe, ensuring scalability and future-proofing.
  • System Architecture: Design robust, distributed, and high-performance AI architectures that handle massive data loads with minimal latency.
  • Research & Development: Collaborate with top-tier researchers to implement state-of-the-art algorithms and integrate them into core company products.
  • Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Performance Optimization: Continuously monitor, optimize, and refactor existing systems to meet the rigorous demands of production environments.
  • Stakeholder Communication: Translate complex technical concepts into actionable insights for non-technical stakeholders and investors.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and leadership.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative, scalable solutions.
  • Leadership: Proven track record of leading high-performing engineering teams and managing cross-functional projects.
  • Future-Forward Mindset: A passion for emerging technologies and a strong understanding of the trajectory of AI development through 2026.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch Distributed Systems Kubernetes Cloud Architecture Leadership

Ready to Take This Challenge?

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