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Senior AI Architect: 2026 Strategic Lead

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are building the future, and we need a visionary leader to architect our trajectory for 2026 and beyond. As our Senior AI Architect, you will define the technical roadmap for our next-generation generative AI platform. You will lead a team of elite engineers in pushing the boundaries of machine learning, ensuring our solutions are scalable, secure, and revolutionary.

Why join us?

At Apex Horizon, we don't just predict the future; we build it. You will work in a cutting-edge environment with access to the latest compute resources, collaborating with industry pioneers to solve humanity's most complex challenges through advanced AI.

Responsibilities

  • Define the 2026 Roadmap: Create a comprehensive technical strategy for AGI and Generative AI initiatives.
  • Lead R&D: Spearhead research into Large Language Models (LLMs), Transformers, and multimodal systems.
  • System Architecture: Design fault-tolerant, distributed ML infrastructure capable of handling petabyte-scale data.
  • Team Leadership: Mentor senior engineers and foster a culture of innovation, code quality, and continuous learning.
  • Product Integration: Partner with product managers to integrate complex AI models into consumer-facing applications.
  • Ethical AI Governance: Establish frameworks for responsible AI, bias mitigation, and data privacy compliance.
  • Strategic Communication: Present technical visions to executive stakeholders and board members.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years in software engineering/ML, with at least 4 years in a senior architecture role.
  • Technical Core: Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Cloud Architecture: Proven experience designing cloud-native solutions on AWS, GCP, or Azure.
  • Leadership: Demonstrated ability to lead high-performance engineering teams through complex product cycles.
  • Soft Skills: Exceptional verbal and written communication skills; ability to translate technical jargon into business value.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Architecture AWS GCP Kubernetes System Design AI Ethics

Ready to Take This Challenge?

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