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Senior AI Architect (2026 Horizon)

Zenith Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to shape the technological landscape leading up to and beyond 2026. At Zenith Future Labs, we are building the infrastructure for tomorrow's intelligence, focusing on scalable, ethical, and transformative AI systems.

In this role, you will be at the forefront of innovation, designing the architectural blueprints for our next-generation generative models and autonomous systems. You will define the roadmap for our engineering teams, ensuring our solutions are robust, future-proof, and ready for the challenges of the 2026 era.

If you are a technical leader who thrives in ambiguity and wants to leave a lasting mark on the future of technology, we want to hear from you.

Responsibilities

  • Architect and design scalable AI infrastructure and neural network frameworks specifically for 2026 deployment scenarios.
  • Lead the technical strategy for our research and development initiatives, aligning them with long-term business goals.
  • Mentor and guide a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with product managers and stakeholders to translate complex requirements into elegant technical solutions.
  • Ensure system security, ethical AI compliance, and data privacy standards are met across all projects.
  • Conduct deep-dive code reviews and architectural assessments to ensure code quality and scalability.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML system design.
  • Expert proficiency in Python, C++, and distributed systems programming.
  • Proven track record of leading high-performance engineering teams in a fast-paced environment.
  • Deep understanding of transformer architectures, large language models, and reinforcement learning.
  • Familiarity with quantum computing principles and their application to future AI models is highly desirable.

Required Skills

Python C++ Machine Learning System Design Neural Networks Leadership TensorFlow PyTorch Distributed Systems Quantum Computing

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