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Senior AI Architect: 2026 Visionary

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are on a mission to define the technological landscape of the 2026 era. At Apex Future Systems, we are building the foundational infrastructure for the next generation of intelligent applications. We are seeking a visionary Senior AI Architect to lead our engineering efforts, bridging the gap between theoretical AI breakthroughs and scalable production systems.

If you are passionate about pushing the boundaries of what is possible and want to be part of a team that is architecting the future, we want to hear from you.

Responsibilities

  • Architect Design: Design and implement robust, scalable, and secure AI/ML infrastructure capable of supporting high-throughput 2026-era workloads.
  • Strategic Roadmap: Define the technical roadmap for AI systems, ensuring alignment with our long-term vision for 2026 and beyond.
  • System Optimization: Oversee the optimization of data pipelines and model inference engines to maximize performance and minimize latency.
  • Technical Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaboration: Partner with product and research teams to translate complex business requirements into technical architectures.

Qualifications

  • Experience: 7+ years of experience in software engineering and 3+ years in designing AI/ML systems.
  • Programming: Proficiency in Python, Go, or Java, with deep knowledge of machine learning frameworks (PyTorch, TensorFlow, or JAX).
  • Infrastructure: Strong expertise in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Problem Solving: Proven track record of solving complex architectural challenges in large-scale distributed systems.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Required Skills

Python Machine Learning TensorFlow AWS Kubernetes System Architecture AI Infrastructure Go Docker Data Engineering

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