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Senior AI Architect | Shaping the 2026 Landscape | San Francisco, CA

Apex Horizon Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technological roadmap for the 2026 era. At Apex Horizon, we are not just building software; we are engineering the future of human-AI collaboration. You will be at the forefront of deploying next-generation Large Language Models (LLMs) and predictive analytics engines designed to scale for the demands of 2026 and beyond.

In this role, you will bridge the gap between cutting-edge research and practical, high-performance engineering. You will lead a team of elite engineers in building scalable, secure, and ethical AI systems that power our global infrastructure. If you are passionate about solving complex problems and have a knack for strategic foresight, this is your chance to leave a lasting legacy.

Responsibilities

  • Strategic Visioning: Lead the architectural design for AI systems that prepare our infrastructure for the 2026 market demands, ensuring scalability and resilience.
  • Technical Leadership: Mentor a high-performance engineering team, fostering a culture of innovation, code excellence, and continuous learning.
  • System Design: Design and implement complex distributed systems, focusing on cloud-native architecture, microservices, and edge computing.
  • Research Integration: Evaluate and integrate emerging AI research into production environments, prioritizing practical utility over theoretical novelty.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and stakeholders to translate business goals into technical roadmaps.
  • Performance Optimization: Drive initiatives to optimize model inference speeds and reduce latency across all deployed AI services.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: 8+ years of software engineering experience, with at least 4 years in a senior or lead role within AI/ML or high-scale distributed systems.
  • Technical Stack: Proficiency in Python, C++, or Rust; extensive experience with TensorFlow, PyTorch, or JAX.
  • Cloud Mastery: Deep expertise in AWS, GCP, or Azure, specifically in AI services and MLOps pipelines.
  • Strategic Mindset: Proven ability to think strategically about long-term technology trends and their business impact.
  • Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences.

Required Skills

Artificial Intelligence Machine Learning System Architecture Cloud Computing (AWS/GCP) Python MLOps Leadership Strategic Planning

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