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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

The Future is Here. Are You Ready to Lead It?

Nexus Horizon Technologies is seeking a visionary Senior AI Architect to spearhead our engineering strategy for the 2026 roadmap. We are not just building software; we are architecting the intelligence that will define the next decade of human-machine interaction. If you thrive in high-stakes environments and want to leave a lasting legacy in the tech world, this is your opportunity.

As a key member of our leadership team, you will bridge the gap between theoretical AI research and scalable, production-grade engineering. We are looking for someone who doesn't just keep up with trends but sets them.

Why Join Us?

  • Work on cutting-edge Generative AI and Predictive Analytics models.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a premium tech hub in San Francisco.

Responsibilities

  • Define and execute the technical roadmap for the 2026 product vision, ensuring scalability and robustness.
  • Lead the architecture and design of complex Machine Learning pipelines and distributed systems.
  • Mentor senior engineers and foster a culture of innovation, code quality, and continuous improvement.
  • Collaborate with product management and cross-functional teams to translate business goals into technical specifications.
  • Oversee the integration of emerging technologies (e.g., Neural Networks, Edge Computing) into our core stack.
  • Conduct rigorous code reviews and establish best practices for security and performance.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep understanding of Python, TensorFlow, PyTorch, and distributed systems.
  • Experience designing systems for high availability, low latency, and massive scale.
  • Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • Strong leadership skills with a proven track record of managing high-performing engineering teams.
  • Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow System Architecture Cloud Computing Leadership Deep Learning

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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