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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Shaping the 2026 Landscape

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our R&D efforts and define the technological roadmap for 2026 and beyond. At Nebula Dynamics, we are not just building software; we are engineering the future. You will be at the forefront of integrating next-generation Generative AI, Quantum-inspired algorithms, and autonomous decision-making systems into scalable production environments.

In this role, you will bridge the gap between theoretical breakthroughs and practical application, ensuring our solutions are robust, ethical, and ahead of the curve. If you are passionate about the intersection of human intelligence and machine evolution, this is your chance to leave a lasting impact.

Responsibilities

  • Architect Future-Ready Systems: Design and implement scalable AI infrastructures capable of supporting the demands of 2026, leveraging cutting-edge cloud-native technologies.
  • Lead Generative AI Integration: Spearhead the deployment and optimization of Large Language Models (LLMs) and multimodal AI agents.
  • Strategic Roadmapping: Define the technical vision for 2026, identifying emerging trends in AI ethics, autonomy, and efficiency.
  • Cross-Functional Leadership: Collaborate with product teams, data scientists, and engineering leads to translate business goals into technical architectures.
  • Optimization & Performance: Ensure system latency, throughput, and cost-efficiency meet enterprise-grade standards.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 5 years in AI/ML architecture and leadership roles.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubernetes, Docker, MLflow).
  • Cloud Expertise: Deep knowledge of cloud providers (AWS/GCP/Azure) and serverless architectures.
  • Future Tech Mindset: Demonstrated experience with or deep interest in emerging paradigms such as Federated Learning, Edge AI, and Quantum Computing interfaces.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps Kubernetes Docker AWS GCP AI Architecture Machine Learning Generative AI Cloud Computing

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