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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

We are not just building software; we are architecting the timeline for tomorrow. Nexus Horizon Systems is seeking a visionary Senior AI Architect to spearhead our Project 2026 initiative—a groundbreaking leap into autonomous decision-making systems and next-gen neural networks.

In this role, you will define the technical roadmap for our most ambitious product launch yet. You will bridge the gap between theoretical research and scalable production systems, ensuring our AI solutions are robust, ethical, and transformative. If you thrive in ambiguity and want to define the future of technology, this is your stage.

Responsibilities

  • Lead the architectural design of scalable AI infrastructure for the Project 2026 roadmap, ensuring high availability and fault tolerance.
  • Develop and optimize proprietary machine learning models and large language models (LLMs) for high-volume data processing.
  • Collaborate with product managers and data scientists to translate strategic goals into technical deliverables.
  • Implement rigorous testing, validation, and monitoring protocols to ensure model accuracy, safety, and performance.
  • Oversee the integration of complex AI components into existing enterprise ecosystems.
  • Stay at the forefront of industry trends, specifically in Generative AI, Edge Computing, and Quantum-Ready algorithms.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.

Qualifications

  • 10+ years of experience in software engineering, machine learning architecture, or related fields.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Proven track record of deploying large-scale LLMs in production environments with measurable ROI.
  • Strong understanding of data privacy, AI ethics, and responsible AI principles.
  • Master's degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
  • Exceptional leadership skills with a focus on mentorship, strategic planning, and team growth.

Required Skills

Python TensorFlow PyTorch Machine Learning System Design Cloud Architecture LLMs Deep Learning AWS Kubernetes

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