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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Principal AI Architect: 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 195.000 – USD 280.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are building the infrastructure for tomorrow. Nexus Future Labs is seeking a visionary Principal AI Architect to spearhead our roadmap for 2026 and beyond. In this role, you will not just adapt to emerging technologies; you will define them. We are looking for an individual who thrives in ambiguity and possesses the technical prowess to engineer next-generation artificial intelligence systems that will revolutionize the industry.

As a key leader in our tech stack, you will bridge the gap between theoretical research and scalable production environments, ensuring our solutions are robust, ethical, and future-proof.

Responsibilities

  • Architectural Leadership: Design and oversee the development of large-scale AI infrastructure and neural network architectures tailored for 2026 standards.
  • Strategic Roadmapping: Identify emerging trends in Generative AI and Quantum Computing to integrate into our core product offerings.
  • Technical Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • R&D Integration: Collaborate with the R&D department to prototype and validate cutting-edge algorithms before full-scale deployment.
  • System Optimization: Ensure high availability, scalability, and security of AI models deployed in cloud environments.
  • Stakeholder Communication: Translate complex technical concepts into compelling narratives for investors and executive leadership.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: Minimum of 8+ years of experience in software engineering and AI development, with at least 3 years in a leadership or architect role.
  • Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, AWS/Azure).
  • Innovation: Demonstrated history of implementing novel AI solutions in production environments.
  • Leadership: Proven ability to lead cross-functional teams and manage large-scale technical projects.
  • Problem Solving: Exceptional analytical skills with a focus on architectural scalability and fault tolerance.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Kubernetes AWS Cloud Architecture Leadership AI Roadmapping

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