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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Architect - San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon is seeking a visionary Future-Ready AI Architect to lead our strategic roadmap. In this pivotal role, you will bridge the gap between emerging trends and practical application, ensuring our organization remains at the forefront of the next technological revolution. We are looking for a leader who doesn't just adapt to change but actively engineers it.

Why Join Us?

  • Shape the 2026 Vision for our core engineering teams.
  • Work with cutting-edge Generative AI and Quantum-Ready infrastructure.
  • Competitive compensation and equity packages.
  • Remote-first culture with a hub in the heart of San Francisco.

Responsibilities

  • Strategic Roadmapping: Define and execute the technical roadmap for the 2026 fiscal year, aligning AI capabilities with business objectives.
  • Trend Analysis: Monitor global technology trends to identify opportunities for innovation in AI, Web3, and sustainable computing.
  • Architecture Design: Design scalable, resilient, and secure AI architectures that support future growth and regulatory compliance.
  • Team Leadership: Mentor senior engineers and foster a culture of continuous learning and experimentation.
  • Stakeholder Management: Translate complex technical concepts into actionable strategies for executive leadership.
  • Implementation Oversight: Oversee the pilot programs for 2026 technologies, ensuring rapid deployment and feedback loops.

Qualifications

  • Experience: 8+ years of experience in Software Engineering, with at least 3 years in a Lead Architect or AI Strategy role.
  • Technical Skills: Deep expertise in Machine Learning frameworks (PyTorch, TensorFlow) and large language models (LLMs).
  • Strategic Mindset: Proven ability to look beyond current tech stacks to anticipate and prepare for 2026 standards.
  • Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
  • Communication: Exceptional ability to communicate complex strategies to diverse audiences.
  • Problem Solving: Demonstrated history of solving ambiguous problems with innovative technical solutions.

Required Skills

Artificial Intelligence Machine Learning System Architecture Strategic Planning Python Cloud Computing Leadership Agile Methodologies

Ready to Take This Challenge?

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