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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Shaping the Future (2026)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond?

Nexus Future Systems is seeking a visionary Senior AI Architect to lead our next-generation autonomous systems division. In this pivotal role, you will bridge the gap between theoretical machine learning and real-world scalable applications, driving innovation that defines the future of human-computer interaction.

We are not just building software; we are architecting the intelligence of tomorrow. If you thrive in fast-paced environments and possess a deep understanding of Generative AI, Large Language Models (LLMs), and Neural Networks, we want to hear from you.

Responsibilities

  • Architect Scalable ML Pipelines: Design and implement robust, scalable machine learning architectures capable of processing petabytes of data in real-time.
  • Lead Model Development: Spearhead the research and development of proprietary AI models, focusing on NLP, Computer Vision, and Reinforcement Learning.
  • Optimization & Performance: Continuously refine model accuracy and latency, ensuring our systems are faster and smarter than the competition.
  • Cross-Functional Collaboration: Partner with product managers and software engineers to translate complex AI capabilities into user-centric features.
  • Mentorship: Guide a team of brilliant data scientists and ML engineers, fostering a culture of innovation and technical excellence.
  • Future-Proofing: Stay ahead of the curve on emerging AI trends and technologies to ensure our platform remains a market leader through 2026 and beyond.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of experience in machine learning engineering, with at least 2 years in a senior leadership or architect role.
  • Technical Skills: Deep proficiency in Python, TensorFlow, PyTorch, and Hugging Face.
  • Domain Knowledge: Extensive experience with LLMs (e.g., GPT-4, LLaMA), RAG architectures, and MLOps practices.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in ambiguous environments.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP MLOps LLM AWS Cloud Architecture

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