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Senior AI Architect (2026 Initiative)

NexaCore Technologies
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

NexaCore Technologies is at the forefront of the AI revolution, building the intelligent systems of tomorrow. As part of our exclusive 2026 Initiative, we are seeking a visionary Senior AI Architect to define the core of our next-generation machine learning infrastructure. You will work with a world-class team to push the boundaries of generative AI, LLM optimization, and autonomous agent deployment. This is a unique opportunity to shape the technological landscape of the future while working with state-of-the-art tools and a high-impact team.

Responsibilities

  • Lead the architectural design and implementation of scalable AI systems aligned with the 2026 roadmap.
  • Develop and optimize large language models (LLMs) for high-performance inference and real-time applications.
  • Collaborate with data scientists to integrate cutting-edge research into production environments.
  • Ensure system reliability, security, and ethical AI compliance across all deployments.
  • Drive technical decision-making regarding cloud infrastructure, MLOps, and edge computing.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Conduct feasibility studies for emerging technologies and AI paradigms.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML.
  • Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face ecosystems.
  • Strong background in distributed systems, microservices, and cloud architecture (AWS/GCP/Azure).
  • Proven experience with MLOps tools and productionizing machine learning models.
  • Exceptional problem-solving skills and a passion for future-forward technologies.
  • Experience with semantic search, vector databases, and RAG architectures.

Required Skills

Python Machine Learning Deep Learning Artificial Intelligence Cloud Architecture MLOps LLMs AWS PyTorch TensorFlow Generative AI Distributed Systems

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