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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead AI Architect | The 2026 Initiative

Apex Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the forefront of the next industrial revolution, and we are building the infrastructure for The 2026 Initiative. At Apex Horizon Labs, we are not just predicting the future; we are engineering it. We are seeking a visionary Lead AI Architect to design the neural frameworks that will define the technological landscape of 2026 and beyond.

In this high-impact role, you will spearhead the development of next-generation Artificial Intelligence systems, ensuring scalability, ethical compliance, and cutting-edge performance. You will work in a dynamic, elite environment where your code will power the core products of tomorrow.

Why join us?

  • Future-Proofing: Directly influence the roadmap for the 2026 technological milestones.
  • Elite Team: Collaborate with world-class researchers and engineers.
  • Impactful Work: Build systems that solve complex, global problems.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of robust AI/ML architectures aligned with the 2026 strategic roadmap.
  • Model Optimization: Lead the research and development of deep learning models, focusing on latency reduction and inference efficiency.
  • Strategic Planning: Define technical strategies for integrating generative AI into our core product suite.
  • Mentorship: Cultivate a high-performance engineering culture, mentoring junior developers and data scientists.
  • Infrastructure: Partner with DevOps teams to deploy scalable cloud-native AI solutions.
  • Roadmap Execution: Deliver key milestones for The 2026 Initiative on strict deadlines.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering with a focus on Machine Learning and Deep Learning.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, AWS SageMaker).
  • Strategic Vision: Demonstrated ability to translate abstract research concepts into production-ready applications.
  • Communication: Exceptional ability to communicate complex technical concepts to diverse stakeholders.
  • Agile Mindset: Proven track record in Agile/Scrum environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Distributed Systems Cloud Architecture Agile Leadership

Ready to Take This Challenge?

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