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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join the Architects of Tomorrow

We are seeking a visionary Lead AI Architect to help define the technological landscape for the year 2026 and beyond. At Nexus Future Systems, we don't just build software; we engineer the future. You will be at the forefront of Generative AI, Autonomous Systems, and Next-Gen Cloud Infrastructure.

In this high-impact role, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our platforms are robust, ethical, and ready for the demands of the future.

Responsibilities

  • Define the 2026 Technical Roadmap: Architect the long-term strategy for AI infrastructure, ensuring scalability and future-proofing against emerging technologies.
  • Lead Model Architecture: Design and implement complex neural network architectures and large language model (LLM) pipelines with a focus on performance optimization and low-latency inference.
  • Cloud Infrastructure Strategy: Oversee the deployment of AI solutions on major cloud platforms (AWS/Azure), implementing serverless and edge computing strategies for real-time processing.
  • Team Leadership & Mentorship: Guide a team of senior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
  • Ethical AI & Governance: Implement frameworks for bias mitigation, data privacy, and responsible AI deployment in compliance with industry standards.
  • Stakeholder Communication: Translate complex technical concepts into actionable insights for executive leadership and product teams.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 7+ years of experience in software engineering with a strong focus on Machine Learning and AI.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with modern LLM frameworks (Hugging Face, LangChain).
  • Cloud Expertise: Deep understanding of AWS, Azure, or GCP services, specifically AI/ML containers (SageMaker, Vertex AI).
  • Problem Solving: Demonstrated ability to solve unstructured problems and architect systems for high-volume, high-concurrency environments.
  • Leadership: Proven track record of leading cross-functional teams and managing technical projects from conception to launch.

Required Skills

Python PyTorch TensorFlow AWS Azure Machine Learning Deep Learning NLP Generative AI Cloud Architecture Leadership

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