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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (Project 2026)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join the Vanguard of Future Technology

Nexus Horizon Systems is at the forefront of next-generation AI development. We are looking for a visionary Lead AI Architect (Project 2026) to design the infrastructure that will power the next decade of intelligent computing. In this high-impact role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering.

You will lead a team of elite engineers, define the architectural roadmap for our 2026 and beyond initiatives, and ensure our systems are robust, secure, and capable of handling the complexities of artificial general intelligence (AGI).

Why Join Us?

  • Work on cutting-edge projects that define the future of tech.
  • Competitive compensation package and equity options.
  • Flexible remote and hybrid work culture.

Responsibilities

  • Design and architect scalable AI infrastructure capable of supporting complex neural networks and quantum computing integration.
  • Lead the technical vision for Project 2026, translating business goals into actionable technical roadmaps.
  • Mentor and guide a high-performing engineering team, fostering a culture of innovation and continuous learning.
  • Collaborate with data scientists and product managers to optimize model performance and deployment efficiency.
  • Ensure system reliability, security, and compliance with industry standards.
  • Conduct code reviews and architectural audits to maintain code quality.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Kubernetes, Docker).
  • Proven track record of leading cross-functional teams and managing large-scale projects.
  • Strong understanding of machine learning lifecycles, MLOps, and model deployment strategies.

Required Skills

Python Machine Learning Deep Learning System Architecture Kubernetes Docker AWS MLOps TensorFlow PyTorch Leadership Agile Scrum

Ready to Take This Challenge?

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

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