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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Future Tech Visionary | San Francisco, CA

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are at the precipice of a new era in technology, and we need a visionary leader to define the landscape for 2026 and beyond. Nexus Horizon Solutions is seeking a Senior AI Architect to spearhead our next-generation artificial intelligence initiatives. In this role, you will bridge the gap between theoretical future-tech and scalable, real-world applications. If you are obsessed with the evolution of AI and want to build the systems that will power the future, we want to meet you.

Join a team that values innovation, transparency, and the relentless pursuit of excellence. We offer a competitive benefits package, equity opportunities, and the chance to work on projects that will define the next decade of technology.

Responsibilities

  • Architect and design scalable, high-performance AI systems tailored for the 2026 technological landscape.
  • Lead the research and implementation of cutting-edge generative models and neural networks.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.
  • Define technical roadmaps and best practices for AI deployment, ensuring ethical and secure implementation.
  • Optimize existing models for latency, throughput, and cost-efficiency in production environments.
  • Stay ahead of industry trends, specifically focusing on advancements expected by 2026.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or similar machine learning frameworks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying large-scale LLMs and generative AI applications.
  • Experience with MLOps, data pipelines, and model versioning tools (e.g., MLflow, Airflow).
  • Excellent leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs MLOps Cloud Computing (AWS/GCP) Kubernetes System Architecture Leadership

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