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Senior AI Architect: Future Systems

Apex Horizon Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are looking for a visionary Senior AI Architect to define the technological roadmap for 2026 and beyond. At Apex Horizon Innovations, we are building the next generation of autonomous intelligence systems. You will lead a world-class team in designing scalable neural architectures that push the boundaries of machine learning.

If you are passionate about the future of AI and want to build systems that operate at the edge of tomorrow, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and implement scalable, high-performance AI systems capable of processing petabytes of real-time data.
  • Future-Proofing: Research and prototype emerging technologies (e.g., Neuromorphic Computing, Quantum AI integration) to ensure our systems remain cutting-edge by 2026.
  • Team Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Algorithm Optimization: Develop proprietary algorithms that reduce latency and increase model accuracy in complex environments.
  • Cross-Functional Collaboration: Partner with product managers and engineering teams to translate complex AI capabilities into user-centric features.
  • System Integration: Oversee the integration of AI models into cloud infrastructure and edge devices.

Qualifications

  • Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Technical Skills: Proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch). Experience with distributed systems (Kubernetes, AWS, GCP) is essential.
  • Education: MS or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Strategic Mindset: Ability to think several years ahead and define long-term technical strategies.
  • Communication: Excellent verbal and written communication skills for presenting complex technical concepts to non-technical stakeholders.
  • Problem Solving: Proven track record of solving ambiguous problems in high-pressure environments.

Required Skills

Python TensorFlow PyTorch Deep Learning Machine Learning Cloud Architecture Kubernetes AWS C++ System Design Neural Networks

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