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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Architect - 2026 Vision

Nexus Core Systems
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to architect the future of technology?

Nexus Core Systems is on a mission to define the AI landscape for the decade ahead. We are seeking a visionary Future-Ready AI Architect to lead our 2026 strategic roadmap. In this pivotal role, you won't just build models; you will define the ethical frameworks and scalable infrastructures that will power the next generation of intelligent systems.

Join a team of elite engineers and strategists working at the bleeding edge of innovation. If you are passionate about the intersection of Artificial Intelligence, Ethics, and Scalable Architecture, we want to hear from you.

Responsibilities

  • Architect the 2026 Vision: Design and oversee the implementation of large-scale AI architectures that align with our long-term strategic goals.
  • Lead Technical Strategy: Define the technical roadmap for AI model deployment, ensuring robustness, security, and scalability.
  • Mentor High-Performance Teams: Guide a team of data scientists and ML engineers, fostering a culture of innovation and continuous learning.
  • Ethical AI Governance: Establish guidelines and protocols to ensure AI outputs are unbiased, transparent, and safe for public use.
  • Cross-Functional Collaboration: Partner with product and engineering leads to integrate AI solutions seamlessly into core business workflows.

Qualifications

  • Strategic Experience: 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture and leadership.
  • Technical Mastery: Deep expertise in Python, TensorFlow/PyTorch, and distributed systems design.
  • Future-Forward Mindset: Demonstrated ability to anticipate emerging trends and technologies (e.g., LLMs, Edge AI) and apply them to business solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree preferred.

Required Skills

Artificial Intelligence Machine Learning Python System Architecture Strategic Planning Leadership TensorFlow Cloud Computing

Ready to Take This Challenge?

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