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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Roadmap)

Nexus Future Systems
Seattle
Estimated Salary
USD 170.000 – USD 240.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are a pioneering technology firm at the forefront of the 2026 technological revolution, specializing in autonomous agents and quantum-enhanced machine learning. We are seeking a visionary Lead AI Architect to spearhead our engineering efforts and define the next generation of intelligent systems.

In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our solutions are scalable, secure, and future-proof. If you are passionate about the trajectory of AI through 2026 and beyond, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of complex, multi-agent AI architectures that align with our 2026 strategic roadmap.
  • R&D Strategy: Evaluate emerging technologies (e.g., LLMs, Neural Symbolic AI) and integrate them into our core platform to maintain a competitive edge.
  • System Optimization: Lead initiatives to optimize model inference latency and reduce computational costs across our distributed cloud infrastructure.
  • Team Mentorship: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Cross-Functional Collaboration: Work closely with product managers and security experts to ensure AI deployments are ethical, compliant, and user-centric.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
  • Domain Knowledge: Proven track record of deploying Large Language Models (LLMs) and generative AI solutions at scale.
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Kubernetes Docker LLMs Machine Learning Distributed Systems AI Architecture Cloud Computing

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