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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to shape the future of technology? Nexus Horizon is seeking a visionary Senior AI Architect to lead our 2026 strategic roadmap. We are building the next generation of intelligent systems, and we need a leader who can bridge the gap between theoretical AI breakthroughs and scalable enterprise solutions.

In this role, you will define the technical vision for our upcoming projects, ensuring we are ahead of the curve in the rapidly evolving landscape of 2026. You will work with a world-class team of engineers and data scientists to deploy cutting-edge artificial intelligence models.

Why join us?

  • Work on projects that define the future of the industry.
  • Competitive compensation package with equity.
  • Flexible work environment in the heart of San Francisco.

Responsibilities

  • Define and execute the technical roadmap for AI initiatives targeting the 2026 timeframe.
  • Lead the architecture and design of large-scale machine learning systems and neural networks.
  • Collaborate with cross-functional teams to integrate AI solutions into core products.
  • Mentor junior architects and engineers, fostering a culture of innovation and excellence.
  • Evaluate emerging AI technologies (e.g., AGI, Quantum AI) and assess their applicability to business needs.
  • Ensure scalability, security, and performance of all AI deployments.
  • Present technical strategies to executive stakeholders and technical leads.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Proven track record of leading technical teams through complex architectural transitions.
  • Strong understanding of Deep Learning, NLP, and Computer Vision.
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Master’s degree in Computer Science, Engineering, or a related field is preferred.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).

Required Skills

Python Machine Learning Artificial Intelligence Deep Learning NLP TensorFlow PyTorch Cloud Architecture Leadership System Design

Ready to Take This Challenge?

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