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Lead AI Architect (Project 2026)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the trajectory of the future.

Apex Horizon Systems is currently recruiting a visionary Lead AI Architect to spearhead Project 2026, our most ambitious initiative yet. We are building the foundational intelligence layer for the next generation of autonomous robotics and predictive analytics.

In this role, you will not just write code; you will architect the neural pathways that power our global operations. If you are a technical leader who is passionate about pushing the boundaries of what is possible with Deep Learning and Generative AI, we want to hear from you.

Responsibilities

  • System Architecture: Design and deploy scalable, high-performance AI architectures for Project 2026, focusing on reinforcement learning and predictive modeling.
  • Technical Strategy: Define the technical vision and roadmap for our AI research initiatives, ensuring alignment with business goals and industry trends.
  • Team Leadership: Recruit, mentor, and manage a world-class team of data scientists, ML engineers, and researchers.
  • Model Optimization: Drive efforts to reduce model latency and increase inference accuracy in real-time environments.
  • R&D Integration: Evaluate and integrate emerging technologies (e.g., Large Language Models, Edge AI) into our core product suite.
  • Stakeholder Communication: Translate complex technical concepts into clear strategies for executive leadership and cross-functional partners.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering or data science, with at least 3 years in a senior or lead technical capacity.
  • Core Competencies: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Specialization: Proven track record in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Soft Skills: Exceptional leadership skills with the ability to thrive in a fast-paced, high-stakes environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Cloud Architecture AWS Leadership AI Research

Ready to Take This Challenge?

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