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Futuristic AI Architect (2026 Roadmap) | San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to architect the future of artificial intelligence? Nexus Future Labs is seeking a visionary Futuristic AI Architect to lead our strategic 2026 roadmap. In this pivotal role, you will define the architectural standards for next-generation Large Language Models and autonomous agents, ensuring our systems are scalable, secure, and ethically aligned with human values.

We are not just building software; we are engineering the intelligence that will define the next decade. If you thrive in ambiguity and possess a deep understanding of the AI landscape, we want to hear from you.

Responsibilities

  • Define the 2026 AI Roadmap: Lead the architectural vision for our upcoming generation of autonomous systems and predictive analytics platforms.
  • Design Scalable Infrastructure: Build fault-tolerant, high-throughput neural network architectures capable of handling petabyte-scale data.
  • Lead High-Performance Engineering: Mentor a team of world-class ML engineers and data scientists, fostering a culture of innovation and excellence.
  • Ethical AI Governance: Implement frameworks to ensure fairness, transparency, and safety in all AI deployments.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex AI capabilities into user-centric solutions.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in AI/ML engineering, with at least 2 years in a senior architectural or lead role.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Strategic Vision: Demonstrated ability to anticipate industry trends and design systems for future scalability.
  • Leadership: Proven track record of leading diverse engineering teams through complex product lifecycles.

Required Skills

AI Architect Machine Learning Python TensorFlow System Design Cloud Architecture NLP Ethics in AI Leadership Deep Learning

Ready to Take This Challenge?

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