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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: Shaping the Future (2026)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Lead AI Architect to define the technological landscape for 2026 and beyond. At Nexus Innovations, we are not just building software; we are engineering the future of intelligence. In this high-impact role, you will bridge the gap between cutting-edge generative AI and enterprise scalability, defining the technical roadmap for the next generation of intelligent systems. You will work with a world-class team of researchers and engineers to deploy models that redefine user experience.

Responsibilities

  • Architect Future-Proof Solutions: Design and implement scalable, cloud-native machine learning infrastructure capable of handling petabyte-scale data.
  • Strategic Vision: Define the long-term technical vision for AI integration, specifically focusing on 2026 trends including agentic AI and multimodal models.
  • Model Governance & Ethics: Establish frameworks for AI safety, bias mitigation, and responsible deployment to ensure compliance with global standards.
  • Cross-Functional Leadership: Partner with product and engineering teams to translate complex AI concepts into robust, production-ready software.
  • Performance Optimization: Lead initiatives to reduce inference latency and optimize resource utilization for real-time applications.

Qualifications

  • Expertise: 7+ years of experience in software engineering with a strong specialization in Machine Learning and Deep Learning.
  • Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with MLOps platforms (e.g., MLflow, Kubeflow).
  • Cloud Mastery: Deep understanding of cloud architecture (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Leadership: Proven track record of leading engineering teams and driving technical roadmaps from conception to delivery.
  • Education: BS, MS, or PhD in Computer Science, AI, or a related technical field.

Required Skills

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

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