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Senior AI Systems Architect (2026 Roadmap)

Apex Horizon Technologies
Austin
Estimated Salary
USD 160.000 – USD 240.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to shape the technological landscape of the future? Apex Horizon Technologies is seeking a visionary Senior AI Systems Architect to lead our infrastructure development for the next decade. In this pivotal role, you won't just write code; you will define the architectural pillars that will support the next wave of generative intelligence and autonomous systems.


We are building the foundation for 2026 and beyond. As a key member of our elite engineering team, you will be responsible for designing scalable, fault-tolerant systems that can handle the complexities of next-gen AI. If you thrive in high-pressure environments and are passionate about the future of computing, this is your opportunity to lead from the front lines.

Responsibilities

  • Architect Design: Design and implement scalable, fault-tolerant AI infrastructure capable of processing petabytes of data in real-time.
  • 2026 Roadmap Strategy: Spearhead the strategic planning and execution of our technology roadmap leading up to 2026, identifying emerging trends in quantum computing and edge AI.
  • System Optimization: Optimize deep learning models for high-performance inference and reduce latency across distributed cloud environments.
  • Team Leadership: Mentor a diverse team of brilliant engineers, fostering a culture of innovation, code excellence, and continuous learning.
  • Cross-Functional Collaboration: Work closely with product managers and data scientists to translate high-level business goals into technical blueprints.
  • Security & Compliance: Ensure all systems adhere to the highest security standards and ethical AI guidelines.

Qualifications

  • Experience: 8+ years of experience in software engineering and 3+ years specifically in AI/ML architecture.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker, AWS/GCP).
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Future-Ready Mindset: Proven track record of implementing cutting-edge technologies in production environments.
  • Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Kubernetes Docker AWS Machine Learning Deep Learning System Architecture Cloud Computing

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