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Information Technology 🏒 Full Time ⭐️ Verified

AI/ML Lead Architect (2026 Horizon)

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Are you ready to shape the trajectory of Artificial Intelligence for the next decade? Nexus Horizon is seeking a visionary AI/ML Lead Architect to spearhead our 2026 product roadmap. In this pivotal role, you will architect scalable machine learning systems and integrate cutting-edge neural networks into our core infrastructure, defining the standard for next-generation intelligence.

As a key member of our leadership team, you will bridge the gap between theoretical AI research and production-grade deployment. We are looking for a strategic thinker who not only understands the current landscape but can envision and build the technologies that will dominate the year 2026 and beyond.

Why Join Us?

  • Work on mission-critical projects that define the future of technology.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with access to top-tier tech stacks.
  • Opportunity to mentor a world-class team of engineers and researchers.

Responsibilities

  • Define the 2026 Technical Vision: Create and communicate a clear technical roadmap for AI capabilities, aligning engineering efforts with long-term business goals.
  • Architect Scalable Systems: Design and implement robust, scalable machine learning pipelines and data infrastructure capable of handling massive data volumes.
  • Lead Engineering Excellence: Mentor senior engineers and data scientists, fostering a culture of innovation, code quality, and continuous learning.
  • Research & Integration: Evaluate emerging AI paradigms (e.g., LLMs, multimodal models) and integrate them into our product ecosystem.
  • Collaboration: Partner with product managers and stakeholders to translate complex AI capabilities into user-friendly features.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture and deployment.
  • Technical Stack: Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
  • Leadership: Proven track record of leading technical teams and managing large-scale projects from conception to delivery.
  • Problem Solving: Exceptional ability to solve complex, unstructured problems in ambiguous environments.
  • Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Kubernetes System Architecture NLP LLMs Agile Leadership

Ready to Take This Challenge?

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