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Senior AI Architect (2026 Focus)

Horizon Core Technologies
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are not just building for today; we are architecting the infrastructure of 2026. At Horizon Core Technologies, we are pioneering the next generation of predictive AI systems designed to solve complex global challenges. We are seeking a visionary Senior AI Architect to lead our R&D division and define the technical roadmap for our flagship product.

If you are passionate about the intersection of quantum computing, neural networks, and future-forward system design, we want to hear from you. You will be responsible for overseeing the entire software lifecycle of our proprietary algorithms and mentoring a team of elite engineers.

Responsibilities

  • Architectural Leadership: Define and implement the high-level system architecture for our 2026 AI roadmap, ensuring scalability and resilience.
  • Algorithm Development: Spearhead the research and development of next-generation machine learning models capable of real-time adaptive learning.
  • Team Mentorship: Lead, coach, and mentor a diverse team of data scientists and software engineers, fostering a culture of innovation and excellence.
  • Technical Strategy: Collaborate with the CTO and product teams to translate business requirements into robust technical solutions.
  • Performance Optimization: Oversee code reviews and implement best practices to optimize system latency and computational efficiency.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years in a lead architectural role.
  • Technical Skills: Deep proficiency in Python, C++, and distributed computing frameworks (Kubernetes, Docker).
  • Domain Knowledge: Strong understanding of neural networks, natural language processing, and quantum computing principles.
  • Soft Skills: Exceptional communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning System Architecture Distributed Systems Kubernetes Docker Quantum Computing Leadership C++

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