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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Vision)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Architect the Future of Technology

We are seeking a visionary Future-Ready AI Architect to lead our strategic roadmap towards 2026. At Apex Horizon Systems, we don't just predict trends; we build the infrastructure that defines the next decade of digital innovation. If you thrive on complexity, scalability, and the ethical integration of emerging technologies, this is your stage.

As we prepare for the technological landscape of 2026, we need a leader who can bridge the gap between theoretical AI breakthroughs and enterprise-grade reality. You will define how our systems evolve, ensuring they are robust, intelligent, and future-proof.

Responsibilities

  • Architect Scalable Infrastructure: Design and implement a resilient AI infrastructure capable of supporting high-volume enterprise demands and the evolving landscape of 2026.
  • Generative AI Leadership: Lead the architectural strategy for integrating Generative AI and Large Language Models (LLMs) into core product ecosystems.
  • Technical Vision: Collaborate with executive leadership to define technical roadmaps and translate business goals into scalable technical solutions.
  • Performance Optimization: Oversee system reliability, security, and performance optimization across distributed cloud environments.
  • Innovation Strategy: Identify and evaluate emerging technologies (e.g., quantum computing interfaces, advanced edge AI) and evaluate their potential impact on our 2026 vision.

Qualifications

  • Experience: 10+ years of experience in software architecture, with at least 5 years specifically focused on AI/ML systems and large-scale infrastructure.
  • Technical Expertise: Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Architecture: Proven track record of deploying machine learning models at scale and designing microservices architectures.
  • Leadership: Strong leadership skills with the ability to mentor high-performing engineering teams and drive cross-functional collaboration.
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

AI Machine Learning System Architecture Python Cloud Computing Generative AI TensorFlow Leadership Strategy

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