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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect & Strategist

Apex Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

The Future of Intelligence is Here. We are Apex Horizon, a next-generation technology firm pioneering the infrastructure for the 2026 AI landscape. We are seeking a visionary Senior AI Architect & Strategist to lead our core research and deployment initiatives. In this pivotal role, you will design scalable, ethical, and high-performance generative AI systems that redefine human-machine interaction. If you are ready to architect the solutions of tomorrow, today, we want to meet you.

Why Join Us?

  • Work at the intersection of cutting-edge research and real-world application.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with premium office amenities in San Francisco.

Responsibilities

  • Architect Next-Gen Systems: Design and oversee the implementation of large-scale machine learning models, specifically focusing on LLMs and multimodal AI for the 2026 market.
  • Strategic Roadmapping: Define the technical vision and long-term roadmap for AI integration across all product verticals, ensuring alignment with business objectives.
  • Infrastructure Scaling: Build and optimize cloud-native infrastructure (AWS/GCP) to handle massive data throughput and real-time inference demands.
  • Ethical AI Governance: Establish frameworks for responsible AI development, ensuring bias mitigation and data privacy compliance.
  • Leadership & Mentorship: Lead a team of data scientists and ML engineers, fostering a culture of innovation and continuous learning.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 10+ years of experience in software engineering and machine learning architecture, with at least 5 years in a senior leadership role.
  • Technical Mastery: Deep proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools.
  • Cloud Expertise: Proven experience architecting systems on AWS or GCP with a focus on serverless and containerized environments.
  • Generative AI: Hands-on experience building, fine-tuning, or deploying Generative AI models.
  • Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Generative AI MLOps AWS GCP Cloud Architecture LLMs Strategic Planning Leadership

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