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Information Technology 🏢 Full Time ⭐️ Verified

Senior Strategic AI Architect (2026 Horizon)

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Nexus Dynamics is pioneering the "2026 Horizon" initiative, a groundbreaking program dedicated to developing scalable, ethical, and transformative Artificial Intelligence systems. We are seeking a visionary Senior Strategic AI Architect to lead our technical vision and define the infrastructure that powers the future of human-machine interaction.

In this role, you will not just build models; you will design the very fabric of next-generation intelligence. If you thrive in ambiguity and have a passion for pushing the boundaries of what's possible in 2026 and beyond, we want to hear from you. Join us in shaping the future of technology.

Responsibilities

  • Architect and deploy scalable machine learning infrastructure tailored for the 2026 enterprise landscape, ensuring high availability and performance.
  • Lead the technical strategy for our core AI products, ensuring alignment with long-term roadmap goals and futuristic scalability requirements.
  • Collaborate with cross-functional teams—including product, engineering, and compliance—to integrate robust AI solutions into complex business workflows.
  • Mentor junior engineers and data scientists, fostering a culture of innovation, technical excellence, and continuous learning.
  • Conduct in-depth research into emerging AI paradigms and quantum computing applications to stay ahead of the curve for the upcoming technological revolution.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and system design.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Docker).
  • Proven track record of leading high-performance engineering teams in a fast-paced, agile environment.
  • Strong understanding of ethical AI principles, bias mitigation, responsible data governance, and regulatory compliance.
  • Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field is highly preferred.

Required Skills

Python TensorFlow PyTorch Machine Learning Cloud Architecture Distributed Systems Leadership AI Ethics

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