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Senior AI Architect: Shaping the 2026 Landscape

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the precipice of a technological revolution, and we are looking for a visionary Senior AI Architect to define the infrastructure for the 2026 era of Artificial General Intelligence (AGI). In this role, you will not just build systems; you will architect the future, bridging the gap between cutting-edge neural research and scalable, production-grade deployment. Join Nexus Horizon Systems and lead the charge in solving humanity's most complex challenges through advanced machine learning.

Responsibilities

  • Design and implement the core architectural framework for 2026-era autonomous AI systems, ensuring scalability and fault tolerance.
  • Lead a cross-functional team of researchers and engineers to integrate quantum-ready algorithms into deep learning pipelines.
  • Define the technical roadmap for next-generation Natural Language Processing (NLP) models, targeting 2026 benchmarks.
  • Oversee the deployment of federated learning networks to ensure privacy-preserving data processing at scale.
  • Conduct rigorous performance optimization on large-scale GPU clusters to reduce inference latency by 40%.
  • Mentor junior architects and data scientists, fostering a culture of innovation and continuous learning.
  • Establish best practices for ethical AI governance and bias mitigation in automated decision-making systems.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related field, with a focus on Machine Learning or Computational Neuroscience.
  • 10+ years of experience in software engineering, with at least 5 years in a senior architectural role within the AI/ML industry.
  • Deep proficiency in Python, C++, and CUDA for high-performance computing applications.
  • Proven track record of deploying Large Language Models (LLMs) and transformer architectures in production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure), and Kubernetes orchestration.
  • Experience with reinforcement learning, meta-learning, and synthetic data generation techniques.
  • Excellent verbal and written communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python C++ CUDA Kubernetes Cloud Architecture Neural Networks AGI Quantum Computing Deep Learning Reinforcement Learning NLP

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