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Senior AI Strategy Architect 2026 - San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Architect the Future of Intelligence.

Nexus Future Labs is a cutting-edge research organization dedicated to defining the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Strategy Architect to lead our strategic initiatives in Artificial General Intelligence (AGI) and adaptive systems. If you possess a deep understanding of machine learning architecture and a passion for shaping the future, we want to hear from you.

In this pivotal role, you will bridge the gap between theoretical research and scalable industrial application, ensuring our innovations remain at the forefront of the 2026 technological revolution.

Responsibilities

  • Define and execute the AI roadmap for Nexus Future Labs, aligning technical capabilities with business goals for the 2026 timeline.
  • Lead the architectural design of complex, scalable machine learning systems and neural networks.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to drive innovation.
  • Evaluate emerging AI technologies (e.g., Quantum AI, Neuromorphic Computing) and determine their viability for integration.
  • Establish best practices for ethical AI, data governance, and model explainability.
  • Present complex technical strategies to executive stakeholders and investors.

Qualifications

  • 10+ years of experience in software engineering, machine learning, or data science, with at least 3 years in a strategic or architectural leadership role.
  • Proven expertise in designing large-scale distributed systems and deep learning frameworks (TensorFlow, PyTorch).
  • Master’s degree in Computer Science, Physics, or a related technical field; Ph.D. preferred.
  • Strong understanding of AI ethics, bias mitigation, and regulatory compliance standards.
  • Exceptional communication skills with the ability to translate complex concepts for non-technical audiences.
  • Track record of successfully leading teams through high-pressure R&D cycles.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture (AWS/Azure) Strategic Planning AI Ethics Neural Networks System Design

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