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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | Project 2026

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the Future with Nexus Horizon

We are on a mission to redefine the boundaries of artificial intelligence by 2026. Nexus Horizon is seeking a visionary Senior AI Architect to lead our Project 2026 initiative. In this role, you will architect scalable, high-performance machine learning systems that will power the next generation of autonomous solutions.

If you are a technical leader who thrives in ambiguity and wants to leave a lasting legacy in the tech industry, we want to hear from you.

Why Join Us?

  • Work on cutting-edge generative AI and predictive modeling.
  • Competitive equity package and top-tier health benefits.
  • Flexible remote-first culture with HQ in the heart of SF.

Responsibilities

  • Lead the architectural design and implementation of the Project 2026 core infrastructure, ensuring scalability and fault tolerance.
  • Define and execute the technical roadmap for our AI initiatives, aligning with the 2026 strategic vision.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to drive innovation.
  • Optimize existing ML pipelines and research prototypes for production deployment.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay abreast of the latest advancements in AI research to integrate novel techniques into our stack.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 10+ years of experience in software engineering, with 5+ years specifically in AI/ML architecture.
  • Strong proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Proven track record of leading large-scale machine learning projects from conception to deployment.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.

Required Skills

Python Machine Learning TensorFlow PyTorch Kubernetes Cloud Computing MLOps System Design Data Engineering Leadership

Ready to Take This Challenge?

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

Apply Now

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