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Senior AI Architect: 2026 Vision

Apex Horizon Systems
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026?

Apex Horizon Systems is seeking a visionary Senior AI Architect to lead our strategic roadmap into the future. In this role, you won't just build models; you will architect the foundational infrastructure that powers the next generation of intelligent applications. We are looking for a leader who thrives in ambiguity and has a proven track record of delivering scalable, high-performance AI solutions.

Join us in shaping the future of Artificial Intelligence, where innovation meets practical application in a dynamic, high-growth environment.

Responsibilities

  • Architect Next-Gen AI Systems: Design and implement scalable, resilient, and high-performance machine learning architectures tailored for the 2026 landscape.
  • Lead Technical Vision: Define the technical roadmap for Generative AI, LLMs, and autonomous agents, ensuring alignment with business goals.
  • Model Optimization: Oversee the full lifecycle of model development, from training data pipelines to deployment and real-time inference optimization.
  • Cross-Functional Leadership: Collaborate with engineering, product, and research teams to translate complex AI concepts into robust software solutions.
  • Ethical AI Governance: Establish and enforce guidelines for responsible AI, ensuring fairness, transparency, and safety in all deployed models.
  • Performance Engineering: Drive technical excellence in latency reduction, throughput maximization, and cost efficiency for large-scale inference.

Qualifications

  • Education: Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 8+ years of experience in software engineering and 5+ years specifically in AI/ML architecture.
  • Core Tech Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
  • Generative AI: Proven experience designing and deploying Large Language Models (LLMs) and RAG architectures.
  • System Design: Strong background in cloud architecture (AWS/Azure/GCP) and high-availability system design.
  • Problem Solving: Exceptional ability to troubleshoot complex performance bottlenecks and architectural challenges.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow Kubernetes Cloud Architecture Generative AI LLMs System Design AWS Leadership

Ready to Take This Challenge?

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