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Information Technology 🏢 Full Time ⭐️ Verified

Principal AI Architect - 2026 Roadmap

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

Job Description

We are seeking a visionary Principal AI Architect to lead our strategic roadmap for the 2026 product cycle. As a pioneer in next-generation intelligence, you will define the architectural blueprints that power our autonomous systems and predictive analytics platforms. This role is not just about coding; it is about defining the future of technology in a rapidly evolving landscape.

You will work at the intersection of research and production, bridging the gap between theoretical breakthroughs and scalable enterprise solutions. If you are obsessed with precision, efficiency, and pushing the boundaries of what AI can achieve, we want to hear from you.

Responsibilities

  • Define and execute the technical roadmap for AI initiatives targeting the 2026 product cycle.
  • Architect scalable, fault-tolerant machine learning pipelines and data processing architectures.
  • Lead a team of senior engineers and data scientists to ensure best practices in code quality and deployment.
  • Collaborate with product leadership to translate business objectives into technical specifications.
  • Evaluate emerging technologies (e.g., Neuromorphic Computing, Quantum ML) to integrate into our core stack.
  • Mentor junior staff and conduct technical architecture reviews to maintain high standards of engineering excellence.

Qualifications

  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow, with a proven track record of deploying LLMs and Generative AI models.
  • Strong background in distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Kubernetes/Docker).
  • Experience with MLOps platforms, CI/CD pipelines, and model versioning.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

Required Skills

Python Machine Learning Cloud Architecture Kubernetes TensorFlow MLOps Distributed Systems Generative AI System Design

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