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Senior AI Architect | Project 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the future of artificial intelligence? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our Project 2026 initiative. In this pivotal role, you will define the architectural roadmap for next-generation neural networks and scalable machine learning systems. We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to build robust, high-performance AI solutions that will define the landscape of 2026 and beyond.

Why Join Us?

  • Impactful Work: Directly influence the core technology stack powering our global platform.
  • Future-Ready: Work on bleeding-edge technology for the 2026 release cycle.
  • Competitive Package: Comprehensive benefits and a top-tier compensation structure.

Responsibilities

  • Design and implement scalable, high-performance AI architectures aligned with the 2026 strategic vision.
  • Lead the architecture review process for deep learning models and natural language processing (NLP) systems.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaborate cross-functionally with product managers, engineers, and stakeholders to translate business requirements into technical solutions.
  • Ensure system reliability, security, and compliance with industry standards.
  • Research emerging AI trends and technologies to integrate them into the Project 2026 roadmap.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and major cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
  • Proven track record of deploying large-scale machine learning models into production environments.
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field is preferred.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture System Design Deep Learning TensorFlow PyTorch AWS GCP Kubernetes MLOps Natural Language Processing

Ready to Take This Challenge?

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