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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect & 2026 Vision Lead

Nexus Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to join our elite engineering team. As we scale towards our 2026 goals, you will be at the forefront of defining how artificial intelligence integrates into our core ecosystem. This is not just a job; it is a mission to architect the intelligent systems of tomorrow.

In this pivotal role, you will bridge the gap between theoretical machine learning and production-grade scalability, ensuring our solutions are robust, ethical, and ready for the future.

Responsibilities

  • Define the 2026 Roadmap: Lead the architectural design of scalable AI and machine learning pipelines aligned with our strategic vision for the year 2026.
  • Model Strategy: Spearhead the integration of Generative AI and Large Language Models (LLMs) to enhance product capabilities.
  • System Scalability: Architect high-availability systems that can handle massive data throughput and millions of concurrent users.
  • Technical Mentorship: Mentor a team of data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Infrastructure Optimization: Oversee MLOps implementation, ensuring seamless CI/CD pipelines and efficient cloud resource management.
  • Ethical AI Governance: Establish frameworks to ensure AI outputs are transparent, unbiased, and compliant with global regulations.

Qualifications

  • Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a lead or architect role.
  • Tech Stack: Deep expertise in Python, PyTorch, TensorFlow, and Scikit-learn.
  • LLMs & GenAI: Proven experience working with transformer architectures, RAG (Retrieval-Augmented Generation), and vector databases.
  • Cloud Expertise: Strong background in cloud architecture (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Leadership: Exceptional ability to translate complex technical concepts into actionable business strategies for stakeholders.
  • Education: BS in Computer Science, Mathematics, or a related field (Master's degree is a plus).

Required Skills

Python PyTorch TensorFlow AWS GCP MLOps Machine Learning Large Language Models System Design Leadership Generative AI

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