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Senior AI Architect – 2026 Vision | San Francisco, CA

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead our roadmap for 2026 and beyond. Nexus Horizon Systems is building the infrastructure for the next generation of intelligent applications. You will define the architectural standards for our proprietary neural networks, ensuring scalability, security, and performance in a rapidly evolving landscape. This is an opportunity to shape the future of AI technology while working with top-tier engineering talent in the heart of the tech industry.

Why Join Us?

  • Work on cutting-edge generative AI and predictive modeling systems.
  • Competitive compensation package with equity opportunities.
  • Flexible hybrid work environment.

Responsibilities

  • Define and execute the high-level technical architecture for 2026 AI initiatives, ensuring alignment with business goals.
  • Lead the design and implementation of scalable machine learning pipelines and distributed systems.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and technical excellence.
  • Identify and mitigate technical risks, ensuring system reliability and data integrity.
  • Stay at the forefront of industry trends, evaluating emerging technologies to drive innovation.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years specifically focused on Artificial Intelligence and Machine Learning.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Proven track record of designing large-scale systems that handle high concurrency and massive data throughput.
  • Experience with MLOps, data pipeline architecture, and model deployment strategies.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Deep Learning Cloud Computing Kubernetes MLOps Data Engineering

Ready to Take This Challenge?

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